{
  "total": 428,
  "topics": [
    {
      "id": 510683,
      "title": "Successor of PANDA Challenge available now!",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 300840,
      "title": "PANDA Challenge results published in Nature Medicine",
      "comment_count": 5,
      "views": 0,
      "votes": 20
    },
    {
      "id": 201117,
      "title": "PANDA dataset embargo and challenge paper update",
      "comment_count": 4,
      "views": 0,
      "votes": 12
    },
    {
      "id": 161595,
      "title": "Additional prizes, scientific paper, and MICCAI workshop",
      "comment_count": 19,
      "views": 0,
      "votes": 35
    },
    {
      "id": 169423,
      "title": "Thanks to all the teams and next steps",
      "comment_count": 17,
      "views": 0,
      "votes": 14
    },
    {
      "id": 145027,
      "title": "A warm welcome from the organizer team",
      "comment_count": 20,
      "views": 0,
      "votes": 34
    },
    {
      "id": 145026,
      "title": "External Data Thread",
      "comment_count": 69,
      "views": 0,
      "votes": 11
    },
    {
      "id": 147972,
      "title": "Congratulations to New Grandmaster Iafoss 💛",
      "comment_count": 126,
      "views": 0,
      "votes": 69
    },
    {
      "id": 169437,
      "title": "3rd public/20th private solution-segmentation + simple tiles and multiheaded attention",
      "comment_count": 3,
      "views": 0,
      "votes": 21
    },
    {
      "id": 418083,
      "title": "Where are test images ?",
      "comment_count": 2,
      "views": 0,
      "votes": 0
    },
    {
      "id": 408076,
      "title": "Magnification of the dataset",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 146855,
      "title": "PANDA concat tile pooling starter [0.79 LB]",
      "comment_count": 69,
      "views": 0,
      "votes": 129
    },
    {
      "id": 169205,
      "title": "[11th place solution] I have survived in this storm",
      "comment_count": 62,
      "views": 0,
      "votes": 125
    },
    {
      "id": 335664,
      "title": "Will the test set be released?",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 324773,
      "title": "Total channels in the Image",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 155424,
      "title": "Some ideas that work for me",
      "comment_count": 28,
      "views": 0,
      "votes": 87
    },
    {
      "id": 147868,
      "title": "Pytorch vs. Tensorflow",
      "comment_count": 28,
      "views": 0,
      "votes": 14
    },
    {
      "id": 145188,
      "title": "How Important is the Gleason Score?",
      "comment_count": 2,
      "views": 0,
      "votes": 3
    },
    {
      "id": 169230,
      "title": "6th place solution : noise robust learning [BarelyBears]",
      "comment_count": 9,
      "views": 0,
      "votes": 55
    },
    {
      "id": 159820,
      "title": "Tiling methods",
      "comment_count": 37,
      "views": 0,
      "votes": 29
    },
    {
      "id": 169143,
      "title": "1st Place Solution [PND]",
      "comment_count": 116,
      "views": 0,
      "votes": 225
    },
    {
      "id": 169213,
      "title": "5th place approach",
      "comment_count": 1,
      "views": 0,
      "votes": 12
    },
    {
      "id": 166198,
      "title": "cv 0.89+ but lb 0.76",
      "comment_count": 6,
      "views": 0,
      "votes": 2
    },
    {
      "id": 169637,
      "title": "12th Place Solution - Overview with code files",
      "comment_count": 11,
      "views": 0,
      "votes": 25
    },
    {
      "id": 147767,
      "title": "Can't install openslide. Need Help",
      "comment_count": 6,
      "views": 0,
      "votes": 1
    },
    {
      "id": 169108,
      "title": "2nd Place Solution [Save the Prostate]",
      "comment_count": 48,
      "views": 0,
      "votes": 115
    },
    {
      "id": 173593,
      "title": "First Machine Learning Project 0.53. Feedback Welcome",
      "comment_count": 2,
      "views": 0,
      "votes": -1
    },
    {
      "id": 170979,
      "title": "Questions from a newbie - Score and process to submission",
      "comment_count": 8,
      "views": 0,
      "votes": 0
    },
    {
      "id": 166157,
      "title": "team up?",
      "comment_count": 13,
      "views": 0,
      "votes": 5
    },
    {
      "id": 171810,
      "title": "Lightweight siamese network solution (ResNet18 -> PB 0.8966)",
      "comment_count": 0,
      "views": 0,
      "votes": 4
    },
    {
      "id": 169137,
      "title": "Cry here if the best one was not selected :(",
      "comment_count": 28,
      "views": 0,
      "votes": 22
    },
    {
      "id": 171981,
      "title": "Takeaways from this contest?",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 169749,
      "title": "Why did we shake up/down and what could be done about it?",
      "comment_count": 8,
      "views": 0,
      "votes": 16
    },
    {
      "id": 171065,
      "title": "25th place solution [Kaggle_gaggle]",
      "comment_count": 1,
      "views": 0,
      "votes": 6
    },
    {
      "id": 169303,
      "title": "Part of 2nd place solution (only kaggle/colab TPU were used) ",
      "comment_count": 12,
      "views": 0,
      "votes": 49
    },
    {
      "id": 169114,
      "title": "8Th place solution",
      "comment_count": 19,
      "views": 0,
      "votes": 37
    },
    {
      "id": 145682,
      "title": "Research Articles with Network Architectures + Gleason Diagnosis",
      "comment_count": 3,
      "views": 0,
      "votes": 13
    },
    {
      "id": 169938,
      "title": "Private Leader Board QWK Score 93.0 ",
      "comment_count": 5,
      "views": 0,
      "votes": -2
    },
    {
      "id": 169720,
      "title": "Mr Close to medals But No Cigar",
      "comment_count": 6,
      "views": 0,
      "votes": 16
    },
    {
      "id": 169178,
      "title": "18th place solution: DenseNet + RNN based",
      "comment_count": 8,
      "views": 0,
      "votes": 12
    },
    {
      "id": 169342,
      "title": "Silver medal solution -> 24 place",
      "comment_count": 11,
      "views": 0,
      "votes": 13
    },
    {
      "id": 169151,
      "title": "Congratulations & Foreseeing the Shakeup",
      "comment_count": 13,
      "views": 0,
      "votes": 46
    },
    {
      "id": 169553,
      "title": "Two items that worked that I haven't seen mentioned...",
      "comment_count": 8,
      "views": 0,
      "votes": 11
    },
    {
      "id": 169128,
      "title": "Add new rule to prevent high scoring public kernels to be selected for final submission",
      "comment_count": 5,
      "views": 0,
      "votes": 2
    },
    {
      "id": 169113,
      "title": "4th place solution [NS Pathology]",
      "comment_count": 15,
      "views": 0,
      "votes": 40
    },
    {
      "id": 169312,
      "title": "Should private data be made public after competition ends?",
      "comment_count": 6,
      "views": 0,
      "votes": 12
    },
    {
      "id": 169101,
      "title": "What a rough shakeup",
      "comment_count": 11,
      "views": 0,
      "votes": 22
    },
    {
      "id": 169232,
      "title": "3rd place solution",
      "comment_count": 2,
      "views": 0,
      "votes": 22
    },
    {
      "id": 169116,
      "title": "12th Place - Trembling with fear...",
      "comment_count": 4,
      "views": 0,
      "votes": 10
    },
    {
      "id": 169425,
      "title": "16th place solution (all you need to know)",
      "comment_count": 1,
      "views": 0,
      "votes": 14
    },
    {
      "id": 168917,
      "title": "Estimate of Shakeup?",
      "comment_count": 12,
      "views": 0,
      "votes": 13
    },
    {
      "id": 169163,
      "title": "16th place solution",
      "comment_count": 4,
      "views": 0,
      "votes": 15
    },
    {
      "id": 169141,
      "title": "9th Place Solution [ResNeSt might be the key]",
      "comment_count": 0,
      "views": 0,
      "votes": 18
    },
    {
      "id": 169222,
      "title": "Attention based sampling single fold only 4th public / 49 private ",
      "comment_count": 0,
      "views": 0,
      "votes": 14
    },
    {
      "id": 169111,
      "title": "65th solution",
      "comment_count": 9,
      "views": 0,
      "votes": 6
    },
    {
      "id": 169188,
      "title": "🎁 PANDA Solutions Collections [To be Updated...]",
      "comment_count": 0,
      "views": 0,
      "votes": 12
    },
    {
      "id": 169105,
      "title": "Missed submission for .933",
      "comment_count": 9,
      "views": 0,
      "votes": 5
    },
    {
      "id": 168984,
      "title": "Kaggle Error on submission",
      "comment_count": 7,
      "views": 0,
      "votes": 10
    },
    {
      "id": 168833,
      "title": "A simple way to deal with noise label",
      "comment_count": 4,
      "views": 0,
      "votes": 13
    },
    {
      "id": 169225,
      "title": "7th Place Solution（simple but messy）",
      "comment_count": 2,
      "views": 0,
      "votes": 9
    },
    {
      "id": 169106,
      "title": "More and more random LB competitions.",
      "comment_count": 4,
      "views": 0,
      "votes": 5
    },
    {
      "id": 169107,
      "title": "This is a complete fiasco - N place solution [17th Public]",
      "comment_count": 1,
      "views": 0,
      "votes": 10
    },
    {
      "id": 169191,
      "title": "Thanks for great kernels",
      "comment_count": 0,
      "views": 0,
      "votes": 8
    },
    {
      "id": 169388,
      "title": "Lessons learned",
      "comment_count": 1,
      "views": 0,
      "votes": 5
    },
    {
      "id": 169477,
      "title": "AMA w DrHB, CatEek | 2nd Position Team: \"Save The Prostate\" | CTDS.Show",
      "comment_count": 1,
      "views": 0,
      "votes": 4
    },
    {
      "id": 169115,
      "title": "Public Kernel Got Silver",
      "comment_count": 1,
      "views": 0,
      "votes": 7
    },
    {
      "id": 169109,
      "title": "Missed 0.929 selection (maybe missed gold due to that)",
      "comment_count": 3,
      "views": 0,
      "votes": 5
    },
    {
      "id": 169120,
      "title": "🥇Gold Medalling Solutions Links",
      "comment_count": 0,
      "views": 0,
      "votes": 7
    },
    {
      "id": 168804,
      "title": "Submission selection strategy",
      "comment_count": 6,
      "views": 0,
      "votes": 5
    },
    {
      "id": 169100,
      "title": "Lightgmb crop-wise solution (public 0.9)",
      "comment_count": 0,
      "views": 0,
      "votes": 7
    },
    {
      "id": 169112,
      "title": "Mistake made during inference resulted in higher private lb ~0.93 compared to our best selected 0.927",
      "comment_count": 0,
      "views": 0,
      "votes": 7
    },
    {
      "id": 169634,
      "title": "Morphological features",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 169142,
      "title": "How 2  judge self. hahaha unselected gold and selected nothing",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 169145,
      "title": "you lost by luck not by solution",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 167813,
      "title": "Could i quit this competition?",
      "comment_count": 12,
      "views": 0,
      "votes": 9
    },
    {
      "id": 168795,
      "title": "High scoring public kernels near the challenge end",
      "comment_count": 6,
      "views": 0,
      "votes": 3
    },
    {
      "id": 169132,
      "title": "Any explanation for the shake up?",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 168007,
      "title": "[Noise Cooking Recipe] Noise level for each provider?",
      "comment_count": 11,
      "views": 0,
      "votes": 5
    },
    {
      "id": 167117,
      "title": "How to properly do TTA?",
      "comment_count": 18,
      "views": 0,
      "votes": 23
    },
    {
      "id": 170010,
      "title": "For kaggle and host attention ",
      "comment_count": 1,
      "views": 0,
      "votes": -12
    },
    {
      "id": 169161,
      "title": "was it a bloodbath?",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 168623,
      "title": "Private Test Set (timeouts in final submissions?)",
      "comment_count": 10,
      "views": 0,
      "votes": 2
    },
    {
      "id": 168404,
      "title": "Too late but, Too soon (Noisy data)",
      "comment_count": 7,
      "views": 0,
      "votes": 2
    },
    {
      "id": 169212,
      "title": "What worked and what didn't work",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 166938,
      "title": "Last weak of the competition",
      "comment_count": 11,
      "views": 0,
      "votes": 14
    },
    {
      "id": 168825,
      "title": "Which backbone is the best?",
      "comment_count": 1,
      "views": 0,
      "votes": 0
    },
    {
      "id": 168936,
      "title": "I forgot two thirds of train_images ",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 167426,
      "title": "Noisy students vs Imagenet weights in the competition context",
      "comment_count": 8,
      "views": 0,
      "votes": 12
    },
    {
      "id": 168787,
      "title": "the model can be controlled  but too late",
      "comment_count": 1,
      "views": 0,
      "votes": -2
    },
    {
      "id": 169138,
      "title": "0.915 all the way",
      "comment_count": 0,
      "views": 0,
      "votes": -3
    },
    {
      "id": 168785,
      "title": "at least trained 300 epochs and the train_score start to stablized at 0.89",
      "comment_count": 0,
      "views": 0,
      "votes": -1
    },
    {
      "id": 168777,
      "title": "train_score=0.8535 and submit score ?",
      "comment_count": 0,
      "views": 0,
      "votes": -1
    },
    {
      "id": 168776,
      "title": "submit timeout",
      "comment_count": 0,
      "views": 0,
      "votes": -2
    },
    {
      "id": 168794,
      "title": "bad feeling",
      "comment_count": 2,
      "views": 0,
      "votes": -11
    },
    {
      "id": 167646,
      "title": "Additional GPU",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 168799,
      "title": "this 3hours tpu model training get train_score 0.91",
      "comment_count": 0,
      "views": 0,
      "votes": -3
    },
    {
      "id": 167488,
      "title": "Oh there are more digits now!",
      "comment_count": 5,
      "views": 0,
      "votes": 5
    },
    {
      "id": 168711,
      "title": "stop at 0.77",
      "comment_count": 0,
      "views": 0,
      "votes": -3
    },
    {
      "id": 168417,
      "title": "Not accepting new notebook",
      "comment_count": 2,
      "views": 0,
      "votes": 0
    },
    {
      "id": 165632,
      "title": "7 things that did not work",
      "comment_count": 36,
      "views": 0,
      "votes": 34
    },
    {
      "id": 168708,
      "title": "fluctuation",
      "comment_count": 0,
      "views": 0,
      "votes": -4
    },
    {
      "id": 168724,
      "title": "now tpu gpu and colab all are stable",
      "comment_count": 0,
      "views": 0,
      "votes": -5
    },
    {
      "id": 168256,
      "title": "Limited number of submission even when there is an error. Why couldn't it just be counted if the submission was sucssesfull? ",
      "comment_count": 2,
      "views": 0,
      "votes": 0
    },
    {
      "id": 168662,
      "title": "i seldom see others discussion",
      "comment_count": 0,
      "views": 0,
      "votes": -6
    },
    {
      "id": 168653,
      "title": "this time the commission score is 0.599",
      "comment_count": 0,
      "views": 0,
      "votes": -6
    },
    {
      "id": 168664,
      "title": "the rate is a important metrics.",
      "comment_count": 0,
      "views": 0,
      "votes": -7
    },
    {
      "id": 168232,
      "title": "Sklearn 0.22 on notebook instead of 0.23",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 167038,
      "title": "Runtime of submissions to be displayed!",
      "comment_count": 5,
      "views": 0,
      "votes": 1
    },
    {
      "id": 168397,
      "title": "control the model",
      "comment_count": 0,
      "views": 0,
      "votes": -5
    },
    {
      "id": 168399,
      "title": "how to map my train model features to cover the test model feature?",
      "comment_count": 0,
      "views": 0,
      "votes": -7
    },
    {
      "id": 167287,
      "title": "2 submission count reset timeline",
      "comment_count": 0,
      "views": 0,
      "votes": 5
    },
    {
      "id": 167660,
      "title": "beginner issue with saving and loading pytorch model",
      "comment_count": 3,
      "views": 0,
      "votes": 0
    },
    {
      "id": 165774,
      "title": "Analysis on Why Scores stuck at 89-90",
      "comment_count": 10,
      "views": 0,
      "votes": 20
    },
    {
      "id": 166608,
      "title": "Something wrong with team merging",
      "comment_count": 7,
      "views": 0,
      "votes": 5
    },
    {
      "id": 166949,
      "title": "An interesting paper: High-accuracy prostate cancer pathology using deep learning",
      "comment_count": 0,
      "views": 0,
      "votes": 5
    },
    {
      "id": 167347,
      "title": "New to kaggle I would like to use pytorch-efficientnet but can't",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 167194,
      "title": "We can not merge, why?",
      "comment_count": 7,
      "views": 0,
      "votes": 1
    },
    {
      "id": 166678,
      "title": "Please add tensorflow-io pip package",
      "comment_count": 6,
      "views": 0,
      "votes": 4
    },
    {
      "id": 166960,
      "title": "Kaggle Support? -- Submission CSV Not Found errorI ",
      "comment_count": 2,
      "views": 0,
      "votes": 3
    },
    {
      "id": 165407,
      "title": "Colab Training - Issues with dataset size",
      "comment_count": 5,
      "views": 0,
      "votes": 2
    },
    {
      "id": 165077,
      "title": "Submission not working, I tried everything",
      "comment_count": 6,
      "views": 0,
      "votes": 7
    },
    {
      "id": 166502,
      "title": "my vgg-16 kernel",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 166213,
      "title": "IndexError: There are only 1 images in the collection",
      "comment_count": 0,
      "views": 0,
      "votes": 5
    },
    {
      "id": 166437,
      "title": "fastai I cant see the submit button……",
      "comment_count": 7,
      "views": 0,
      "votes": 1
    },
    {
      "id": 165915,
      "title": "I cannot find test data set.....",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 165065,
      "title": "Submission Score of -0.0!!",
      "comment_count": 4,
      "views": 0,
      "votes": 5
    },
    {
      "id": 165062,
      "title": "Is it possible to train on Kaggle?",
      "comment_count": 6,
      "views": 0,
      "votes": 3
    },
    {
      "id": 166338,
      "title": "File size mismatch ??",
      "comment_count": 3,
      "views": 0,
      "votes": 0
    },
    {
      "id": 166455,
      "title": "error",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 166153,
      "title": "candence pretrainedmodels",
      "comment_count": 9,
      "views": 0,
      "votes": 0
    },
    {
      "id": 165291,
      "title": "Capturing Cellular Topology in Multi-Gigapixel Pathology Images",
      "comment_count": 3,
      "views": 0,
      "votes": 6
    },
    {
      "id": 166319,
      "title": "The Max number of submissions before merge deadline?",
      "comment_count": 3,
      "views": 0,
      "votes": 0
    },
    {
      "id": 162334,
      "title": "Tensorflow TPU (42X256X256X3) Pandas Concat Pooling Starter",
      "comment_count": 3,
      "views": 0,
      "votes": 16
    },
    {
      "id": 163540,
      "title": "About \"Code Requirements\" [doubts]",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 165645,
      "title": "GPU memory suddenly full with EffNet-b0",
      "comment_count": 4,
      "views": 0,
      "votes": 0
    },
    {
      "id": 165524,
      "title": "[Beginner Q] Test Images Directory Not Found",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 163461,
      "title": "[Off Topic] Kaggle showing deleted user on leaderboard",
      "comment_count": 6,
      "views": 0,
      "votes": 11
    },
    {
      "id": 163660,
      "title": "How come a child is winning this competition?",
      "comment_count": 4,
      "views": 0,
      "votes": 10
    },
    {
      "id": 161909,
      "title": "Reproducibility issue lb ranging from 0.89-0.91 on the same setup",
      "comment_count": 19,
      "views": 0,
      "votes": 22
    },
    {
      "id": 164486,
      "title": "5% of complete slide or just the blood part?",
      "comment_count": 4,
      "views": 0,
      "votes": 2
    },
    {
      "id": 164502,
      "title": "Cannot save output images as a dataset",
      "comment_count": 6,
      "views": 0,
      "votes": 0
    },
    {
      "id": 164521,
      "title": "Need for Third place decimal in Score",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 162124,
      "title": "using kaggle kernel or colab only?",
      "comment_count": 5,
      "views": 0,
      "votes": 4
    },
    {
      "id": 163614,
      "title": "right ensemble strategy",
      "comment_count": 6,
      "views": 0,
      "votes": 4
    },
    {
      "id": 160419,
      "title": "How to train and submit ? ",
      "comment_count": 6,
      "views": 0,
      "votes": 1
    },
    {
      "id": 163576,
      "title": "Clinical-grade computational pathology for Prostate Cancer using MIL (Multi-instance Learning)",
      "comment_count": 2,
      "views": 0,
      "votes": 5
    },
    {
      "id": 164009,
      "title": "Train 2 different models in 2 centers",
      "comment_count": 10,
      "views": 0,
      "votes": 1
    },
    {
      "id": 164167,
      "title": "Any possibility of changing public dataset",
      "comment_count": 7,
      "views": 0,
      "votes": -1
    },
    {
      "id": 157014,
      "title": "QWK not compatible with TPU in Tensorflow",
      "comment_count": 9,
      "views": 0,
      "votes": 2
    },
    {
      "id": 162926,
      "title": "Looking for pretrained models in (bio)medical images (TF 2.x) ",
      "comment_count": 4,
      "views": 0,
      "votes": 0
    },
    {
      "id": 163512,
      "title": "Can we use Colab Pro outside the USA using VPN? ",
      "comment_count": 7,
      "views": 0,
      "votes": 0
    },
    {
      "id": 162782,
      "title": "WSI preprocessing tutorial",
      "comment_count": 1,
      "views": 0,
      "votes": 8
    },
    {
      "id": 145742,
      "title": "Ideas on how to standardize dataset across data providers",
      "comment_count": 4,
      "views": 0,
      "votes": 18
    },
    {
      "id": 160622,
      "title": "Current best Single Fold score & Multifold score",
      "comment_count": 1,
      "views": 0,
      "votes": 4
    },
    {
      "id": 164228,
      "title": "i doubt google collect data from platform and train AI adversarial to the challenger's wisdom to produce AI warrior",
      "comment_count": 0,
      "views": 0,
      "votes": -10
    },
    {
      "id": 164225,
      "title": "Kind idea will bring good result",
      "comment_count": 0,
      "views": 0,
      "votes": -17
    },
    {
      "id": 163617,
      "title": "How to manage the download",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 163261,
      "title": "My private dataset lost",
      "comment_count": 7,
      "views": 0,
      "votes": 0
    },
    {
      "id": 159084,
      "title": "EfficientNets far superior?",
      "comment_count": 19,
      "views": 0,
      "votes": 16
    },
    {
      "id": 161500,
      "title": "Create medium resolution dataset(30GB) using kaggle notebook",
      "comment_count": 6,
      "views": 0,
      "votes": 31
    },
    {
      "id": 162994,
      "title": "Can't Access My Tiles",
      "comment_count": 6,
      "views": 0,
      "votes": 0
    },
    {
      "id": 157791,
      "title": "Which Resolution is the Best?",
      "comment_count": 18,
      "views": 0,
      "votes": 15
    },
    {
      "id": 160839,
      "title": "Anyone Tried Stain Normalization?",
      "comment_count": 3,
      "views": 0,
      "votes": 3
    },
    {
      "id": 162883,
      "title": "Test set",
      "comment_count": 1,
      "views": 0,
      "votes": 0
    },
    {
      "id": 161364,
      "title": "How long did you take to train your model and what is your computing device?",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 160406,
      "title": "0.90 CV and 0.87 LB with Lower Resolution o.O ",
      "comment_count": 11,
      "views": 0,
      "votes": 14
    },
    {
      "id": 162599,
      "title": "Different Preprocessing for Radboud/Karolinska?",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 162633,
      "title": "Displaying image files",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 162631,
      "title": "Upto 350+ G",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 155954,
      "title": "Duplicate data up to 30%!",
      "comment_count": 24,
      "views": 0,
      "votes": 67
    },
    {
      "id": 161793,
      "title": "List of Notable Research Papers for Competition",
      "comment_count": 4,
      "views": 0,
      "votes": 5
    },
    {
      "id": 145023,
      "title": "Looking for a Team Megathread",
      "comment_count": 158,
      "views": 0,
      "votes": 8
    },
    {
      "id": 148894,
      "title": "Best single model",
      "comment_count": 208,
      "views": 0,
      "votes": 98
    },
    {
      "id": 161693,
      "title": "Transform images to arrays for keras ",
      "comment_count": 3,
      "views": 0,
      "votes": 0
    },
    {
      "id": 161725,
      "title": "May I know why is there 3 same images in one tiff file?",
      "comment_count": 1,
      "views": 0,
      "votes": 0
    },
    {
      "id": 161670,
      "title": "Is kaggle GPU   unavailable",
      "comment_count": 1,
      "views": 0,
      "votes": 0
    },
    {
      "id": 160588,
      "title": "Optimizers",
      "comment_count": 3,
      "views": 0,
      "votes": 7
    },
    {
      "id": 159444,
      "title": "UNET Vs Other Models ?",
      "comment_count": 1,
      "views": 0,
      "votes": 0
    },
    {
      "id": 145020,
      "title": "Welcome!",
      "comment_count": 27,
      "views": 0,
      "votes": 7
    },
    {
      "id": 145021,
      "title": "New to Machine Learning or to Kaggle? ",
      "comment_count": 37,
      "views": 0,
      "votes": 9
    },
    {
      "id": 158440,
      "title": "Deep learning with noisy labels",
      "comment_count": 1,
      "views": 0,
      "votes": 13
    },
    {
      "id": 157795,
      "title": "Fastai Multicategory labels get truncated",
      "comment_count": 8,
      "views": 0,
      "votes": 2
    },
    {
      "id": 154022,
      "title": "Possible to receive Google credits?",
      "comment_count": 7,
      "views": 0,
      "votes": 7
    },
    {
      "id": 158687,
      "title": "An efficient way to probe LB",
      "comment_count": 8,
      "views": 0,
      "votes": 37
    },
    {
      "id": 160379,
      "title": "About public/private test split",
      "comment_count": 1,
      "views": 0,
      "votes": 3
    },
    {
      "id": 159783,
      "title": "Can a pathologist detect gleasons or isup to tissue with lower resolution (1/16)?",
      "comment_count": 2,
      "views": 0,
      "votes": 9
    },
    {
      "id": 157658,
      "title": "Is there other way for download data?I can't download.",
      "comment_count": 6,
      "views": 0,
      "votes": 2
    },
    {
      "id": 159604,
      "title": "imagecodecs package is missing in kaggle environment?",
      "comment_count": 3,
      "views": 0,
      "votes": 4
    },
    {
      "id": 154907,
      "title": "Submission problem",
      "comment_count": 21,
      "views": 0,
      "votes": 0
    },
    {
      "id": 159775,
      "title": "TPU Training Doubts",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 152207,
      "title": "Enhanced image tiles - No more blank part",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 159649,
      "title": "kappa: invalid value encountered in true_divide",
      "comment_count": 1,
      "views": 0,
      "votes": 0
    },
    {
      "id": 159776,
      "title": "Loss based on Label",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 159714,
      "title": "\"Notebook Running\" for hours while making a submission",
      "comment_count": 2,
      "views": 0,
      "votes": 0
    },
    {
      "id": 147684,
      "title": "First step results and their analysis",
      "comment_count": 9,
      "views": 0,
      "votes": 16
    },
    {
      "id": 147209,
      "title": "Question on \"No Custom Packages\" ",
      "comment_count": 1,
      "views": 0,
      "votes": 6
    },
    {
      "id": 159535,
      "title": "how same scores are ranked",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 157644,
      "title": "Another submission no found error!",
      "comment_count": 6,
      "views": 0,
      "votes": 0
    },
    {
      "id": 157997,
      "title": "Which Loss Function is best for Kappa?",
      "comment_count": 13,
      "views": 0,
      "votes": 1
    },
    {
      "id": 158981,
      "title": "Keras VS PyTorch",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 158383,
      "title": "Does custom codebase count as external data?",
      "comment_count": 2,
      "views": 0,
      "votes": 0
    },
    {
      "id": 153053,
      "title": "Radboud negative (ISup=0) showing cancer",
      "comment_count": 5,
      "views": 0,
      "votes": 3
    },
    {
      "id": 146836,
      "title": "Dataset is too big? Let's make it small!",
      "comment_count": 4,
      "views": 0,
      "votes": 22
    },
    {
      "id": 157531,
      "title": "Issue with submission ",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 156920,
      "title": "Multiple folds vs single fold",
      "comment_count": 7,
      "views": 0,
      "votes": 6
    },
    {
      "id": 157944,
      "title": "Submit Button Not able to submit",
      "comment_count": 2,
      "views": 0,
      "votes": 0
    },
    {
      "id": 145892,
      "title": "ValueError: cannot decompress jpeg",
      "comment_count": 12,
      "views": 0,
      "votes": 1
    },
    {
      "id": 157634,
      "title": "Error handling mask files in tiff format",
      "comment_count": 0,
      "views": 0,
      "votes": 4
    },
    {
      "id": 157872,
      "title": "Does Albumentation Slows Training",
      "comment_count": 1,
      "views": 0,
      "votes": 0
    },
    {
      "id": 155914,
      "title": "Which is the best? : classification, regression, ordinal regression etc...",
      "comment_count": 13,
      "views": 0,
      "votes": 24
    },
    {
      "id": 157756,
      "title": "DarkNet Pytorch model for PANDA competition",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 157706,
      "title": "GPU Issues",
      "comment_count": 1,
      "views": 0,
      "votes": 0
    },
    {
      "id": 155834,
      "title": "PANDA Tiles Dataset",
      "comment_count": 5,
      "views": 0,
      "votes": 5
    },
    {
      "id": 157067,
      "title": "late entrant needs wget path",
      "comment_count": 1,
      "views": 0,
      "votes": 0
    },
    {
      "id": 157371,
      "title": "Openslide showing bad image data?",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 154016,
      "title": "For those with limited GPU resources",
      "comment_count": 20,
      "views": 0,
      "votes": 5
    },
    {
      "id": 157003,
      "title": "Labels and core levels",
      "comment_count": 2,
      "views": 0,
      "votes": 4
    },
    {
      "id": 156258,
      "title": "CUDA out of memory",
      "comment_count": 14,
      "views": 0,
      "votes": 1
    },
    {
      "id": 156816,
      "title": "Can we implement MATLAB or Julia? ",
      "comment_count": 2,
      "views": 0,
      "votes": 0
    },
    {
      "id": 154875,
      "title": "Some ways that boost my score",
      "comment_count": 29,
      "views": 0,
      "votes": 27
    },
    {
      "id": 156880,
      "title": "Pytorch vs Keras !",
      "comment_count": 7,
      "views": 0,
      "votes": 0
    },
    {
      "id": 156748,
      "title": "EDA (work in progress)",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 145029,
      "title": "Understanding the Metric: Quadratic Weighted Kappa ",
      "comment_count": 5,
      "views": 0,
      "votes": 23
    },
    {
      "id": 150017,
      "title": "Hosts: Extra decimal point for LB?",
      "comment_count": 9,
      "views": 0,
      "votes": 15
    },
    {
      "id": 156470,
      "title": "How are you doing this ? Need Suggestion",
      "comment_count": 1,
      "views": 0,
      "votes": 4
    },
    {
      "id": 156170,
      "title": "Multi Instance Learning when changing number of tiles?",
      "comment_count": 6,
      "views": 0,
      "votes": 2
    },
    {
      "id": 145995,
      "title": "Faster downloading of data using aria2",
      "comment_count": 6,
      "views": 0,
      "votes": 8
    },
    {
      "id": 156465,
      "title": "Test set masks",
      "comment_count": 1,
      "views": 0,
      "votes": 0
    },
    {
      "id": 155959,
      "title": "How do we reach the test data?",
      "comment_count": 8,
      "views": 0,
      "votes": 2
    },
    {
      "id": 151755,
      "title": "Kappa Cohen with Keras",
      "comment_count": 5,
      "views": 0,
      "votes": 4
    },
    {
      "id": 155395,
      "title": "Need some help in data and missing values?",
      "comment_count": 5,
      "views": 0,
      "votes": 0
    },
    {
      "id": 155876,
      "title": "Need for advice: random results on validation",
      "comment_count": 5,
      "views": 0,
      "votes": 0
    },
    {
      "id": 155967,
      "title": "Tensorflow Convergence",
      "comment_count": 5,
      "views": 0,
      "votes": 0
    },
    {
      "id": 151098,
      "title": "PANDA level 1 multipart dataset available",
      "comment_count": 3,
      "views": 0,
      "votes": 6
    },
    {
      "id": 156054,
      "title": "memory Error",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 153872,
      "title": "List of tiles or large single image made of tiles?",
      "comment_count": 29,
      "views": 0,
      "votes": 17
    },
    {
      "id": 155702,
      "title": "Highest Resolution",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 155135,
      "title": "Bad input samples",
      "comment_count": 1,
      "views": 0,
      "votes": 8
    },
    {
      "id": 153687,
      "title": "Stuck with Regression at 0.79",
      "comment_count": 14,
      "views": 0,
      "votes": 4
    },
    {
      "id": 155886,
      "title": "Start very high QWK but Does not improve much....",
      "comment_count": 1,
      "views": 0,
      "votes": 0
    },
    {
      "id": 152265,
      "title": "using @lafoss minimum model and how to improve",
      "comment_count": 46,
      "views": 0,
      "votes": 69
    },
    {
      "id": 155848,
      "title": "calculate QK values source wise",
      "comment_count": 0,
      "views": 0,
      "votes": -1
    },
    {
      "id": 155528,
      "title": "NaN QK values",
      "comment_count": 9,
      "views": 0,
      "votes": 1
    },
    {
      "id": 155789,
      "title": "Using OpenCV for dealing with this competition",
      "comment_count": 1,
      "views": 0,
      "votes": 0
    },
    {
      "id": 154572,
      "title": "What learning rate are you using?",
      "comment_count": 11,
      "views": 0,
      "votes": 5
    },
    {
      "id": 154684,
      "title": "Deal with Empty Tiles",
      "comment_count": 7,
      "views": 0,
      "votes": 4
    },
    {
      "id": 155385,
      "title": "Large difference between test and validation kappa scores",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 155107,
      "title": "I need a little help with my Regression Model",
      "comment_count": 4,
      "views": 0,
      "votes": 2
    },
    {
      "id": 155208,
      "title": "Notebook fails on submission run",
      "comment_count": 4,
      "views": 0,
      "votes": 0
    },
    {
      "id": 154336,
      "title": "Model Performance Summaries",
      "comment_count": 1,
      "views": 0,
      "votes": 13
    },
    {
      "id": 155417,
      "title": "How to deal with partly filled tiles",
      "comment_count": 1,
      "views": 0,
      "votes": 0
    },
    {
      "id": 154718,
      "title": "Advices after a baseline?",
      "comment_count": 6,
      "views": 0,
      "votes": 2
    },
    {
      "id": 155258,
      "title": "test.csv is only 3 lines when I running notebook",
      "comment_count": 5,
      "views": 0,
      "votes": 0
    },
    {
      "id": 155054,
      "title": "Understanding Strides for OpenSlide Extraction",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 151449,
      "title": "Submission Scoring Error",
      "comment_count": 5,
      "views": 0,
      "votes": 0
    },
    {
      "id": 155051,
      "title": "best way to check Emptyness of tile",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 154652,
      "title": "Train images dataset 224x224 white cropped & resized without distortion",
      "comment_count": 4,
      "views": 0,
      "votes": 3
    },
    {
      "id": 146297,
      "title": "Question about mask unique values and gleason score",
      "comment_count": 5,
      "views": 0,
      "votes": 10
    },
    {
      "id": 153525,
      "title": "Optimize Thresholds for Kappa Score (Regression)",
      "comment_count": 6,
      "views": 0,
      "votes": 5
    },
    {
      "id": 154233,
      "title": "Tips for histopathological diagnosis",
      "comment_count": 1,
      "views": 0,
      "votes": 9
    },
    {
      "id": 148411,
      "title": "Level 1 + 2 in jpeg (images only) dataset: 11 GB",
      "comment_count": 16,
      "views": 0,
      "votes": 36
    },
    {
      "id": 153907,
      "title": "Where to Begin?",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 154210,
      "title": "Clarification for 4+3 v/s 4+4",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 145668,
      "title": "I've uploaded the dataset into Baidu Yun for You",
      "comment_count": 7,
      "views": 0,
      "votes": 9
    },
    {
      "id": 152171,
      "title": "Custom Keras generator with TPU",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 152732,
      "title": "how to monitor memory usage for \"Notebook Exceeded Allowed Compute\"",
      "comment_count": 3,
      "views": 0,
      "votes": 6
    },
    {
      "id": 153056,
      "title": "How do you quickly iterate and test ideas?",
      "comment_count": 4,
      "views": 0,
      "votes": 4
    },
    {
      "id": 147572,
      "title": "Submission CSV Not Found",
      "comment_count": 6,
      "views": 0,
      "votes": 0
    },
    {
      "id": 153276,
      "title": "Has anyone used gleason_score for classification? I said my thoughts",
      "comment_count": 1,
      "views": 0,
      "votes": 3
    },
    {
      "id": 151323,
      "title": "Collection of 600+ Suspicious Slides & Data Loader",
      "comment_count": 17,
      "views": 0,
      "votes": 39
    },
    {
      "id": 152796,
      "title": "Strange masks in dataset",
      "comment_count": 2,
      "views": 0,
      "votes": 0
    },
    {
      "id": 152570,
      "title": "Data augmentation techniques",
      "comment_count": 5,
      "views": 0,
      "votes": 7
    },
    {
      "id": 145364,
      "title": "Downloads are fixed",
      "comment_count": 2,
      "views": 0,
      "votes": 3
    },
    {
      "id": 145541,
      "title": "Error reading the images locally !",
      "comment_count": 9,
      "views": 0,
      "votes": 4
    },
    {
      "id": 149605,
      "title": "skimage.io.MultiImage: Cannot decompress jpeg",
      "comment_count": 12,
      "views": 0,
      "votes": 2
    },
    {
      "id": 152920,
      "title": "Need your help",
      "comment_count": 5,
      "views": 0,
      "votes": 0
    },
    {
      "id": 150570,
      "title": "Stagnant Loss Problem",
      "comment_count": 11,
      "views": 0,
      "votes": 3
    },
    {
      "id": 152252,
      "title": "multiple instance learning-based deep learning system",
      "comment_count": 0,
      "views": 0,
      "votes": 12
    },
    {
      "id": 145574,
      "title": "Watch Out For Suspicious Masks",
      "comment_count": 11,
      "views": 0,
      "votes": 33
    },
    {
      "id": 152111,
      "title": "Why I gave up on segmentation task, some experiment results share",
      "comment_count": 8,
      "views": 0,
      "votes": 19
    },
    {
      "id": 145296,
      "title": "CV vs. public LB",
      "comment_count": 73,
      "views": 0,
      "votes": 50
    },
    {
      "id": 149302,
      "title": "Distribution of test set",
      "comment_count": 23,
      "views": 0,
      "votes": 33
    },
    {
      "id": 145618,
      "title": "Simple White Background Trim Function",
      "comment_count": 15,
      "views": 0,
      "votes": 24
    },
    {
      "id": 152229,
      "title": "Different approaches to model input",
      "comment_count": 6,
      "views": 0,
      "votes": 2
    },
    {
      "id": 152246,
      "title": "Finally, end the loop ......",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 151906,
      "title": "Visualizing a CNN - GradCAM with Keras",
      "comment_count": 0,
      "views": 0,
      "votes": 7
    },
    {
      "id": 152610,
      "title": "Pen Marked Slides",
      "comment_count": 1,
      "views": 0,
      "votes": 0
    },
    {
      "id": 152183,
      "title": "What loss function to use for quadratic weighted kappa?",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 152495,
      "title": "Not able to find API command to download the data set",
      "comment_count": 1,
      "views": 0,
      "votes": 0
    },
    {
      "id": 145093,
      "title": "Data not available (404 Not Found)",
      "comment_count": 29,
      "views": 0,
      "votes": 34
    },
    {
      "id": 152386,
      "title": "What is the meaning of 0 ISUP in train.csv?",
      "comment_count": 2,
      "views": 0,
      "votes": 0
    },
    {
      "id": 149866,
      "title": "Visualization of data distribution through Donut, Pie graphs",
      "comment_count": 12,
      "views": 0,
      "votes": 21
    },
    {
      "id": 151229,
      "title": " What is the best practice of handling the dataset",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 152350,
      "title": "ImageDataGenerator !",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 150737,
      "title": "\"Notebook Threw Exception\" Error when submitting predictions",
      "comment_count": 8,
      "views": 0,
      "votes": 1
    },
    {
      "id": 152172,
      "title": "Just a quick idea for beginners...",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 146494,
      "title": "[Keras, PyTorch]: All Pre-Trained Weights",
      "comment_count": 5,
      "views": 0,
      "votes": 4
    },
    {
      "id": 151584,
      "title": "Submission CSV Not Found is so freaking annoying! ",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 146364,
      "title": "PanNuke dataset available for everyone",
      "comment_count": 7,
      "views": 0,
      "votes": 35
    },
    {
      "id": 151621,
      "title": "Loading Images using ImageDataGenerator",
      "comment_count": 5,
      "views": 0,
      "votes": 0
    },
    {
      "id": 151178,
      "title": "How ISUP labels are assigned for Karolinska?",
      "comment_count": 6,
      "views": 0,
      "votes": 0
    },
    {
      "id": 150429,
      "title": "Holes in segmentation masks",
      "comment_count": 7,
      "views": 0,
      "votes": 3
    },
    {
      "id": 148060,
      "title": "Blank / Error / Marking / Odd Slide Thread",
      "comment_count": 7,
      "views": 0,
      "votes": 27
    },
    {
      "id": 151570,
      "title": "model.eval() leads to Random predictions",
      "comment_count": 5,
      "views": 0,
      "votes": 0
    },
    {
      "id": 149863,
      "title": "Predicting Gleason scores",
      "comment_count": 5,
      "views": 0,
      "votes": 2
    },
    {
      "id": 151427,
      "title": "Submission Error fixing",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 151328,
      "title": "Submissions 0.0",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 151358,
      "title": "Tensorflow hub addons and much more",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 150910,
      "title": "NO test data found",
      "comment_count": 8,
      "views": 0,
      "votes": 0
    },
    {
      "id": 146872,
      "title": "[FIXED] Submission error? (CSV not found)",
      "comment_count": 4,
      "views": 0,
      "votes": 0
    },
    {
      "id": 149699,
      "title": "A GitHub repo having all approaches and code I've tried so far",
      "comment_count": 7,
      "views": 0,
      "votes": 5
    },
    {
      "id": 151335,
      "title": "\"additionalProperties commit error\" solution by kaggle team ",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 148310,
      "title": "Image Enhancement Techniques?",
      "comment_count": 6,
      "views": 0,
      "votes": 15
    },
    {
      "id": 151034,
      "title": "Fail to upload large files from local to kernel",
      "comment_count": 2,
      "views": 0,
      "votes": 0
    },
    {
      "id": 151012,
      "title": "Any open Slide inference:Performance issue",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 145285,
      "title": "Panda resized data(512x512)",
      "comment_count": 3,
      "views": 0,
      "votes": 4
    },
    {
      "id": 150705,
      "title": "Failed CSVs with Correct Format",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 149182,
      "title": "Score 0.0 when submitting",
      "comment_count": 13,
      "views": 0,
      "votes": 2
    },
    {
      "id": 147550,
      "title": "Error during unzip dataset",
      "comment_count": 1,
      "views": 0,
      "votes": 0
    },
    {
      "id": 149685,
      "title": "Problems with submission",
      "comment_count": 4,
      "views": 0,
      "votes": 0
    },
    {
      "id": 148323,
      "title": "Can not make submissions...",
      "comment_count": 13,
      "views": 0,
      "votes": 1
    },
    {
      "id": 149814,
      "title": "Needy Guidance",
      "comment_count": 4,
      "views": 0,
      "votes": 0
    },
    {
      "id": 149272,
      "title": "[Solve]An error has occurred('Submission CSV Not Found').",
      "comment_count": 2,
      "views": 0,
      "votes": 0
    },
    {
      "id": 149939,
      "title": "Panda Acronym",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 149801,
      "title": "Images as hdf5 files?",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 148778,
      "title": "Unable to commit and submit predictions",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 149086,
      "title": "EfficientNet vs Resnet in Pytorch",
      "comment_count": 2,
      "views": 0,
      "votes": 5
    },
    {
      "id": 149178,
      "title": "Plethora of pytorch pretrained models",
      "comment_count": 7,
      "views": 0,
      "votes": 2
    },
    {
      "id": 149697,
      "title": "Kernel Code and Output is not showing up even after successful commit",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 149647,
      "title": "PANDA : test data has only 3 records?",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 145283,
      "title": "Yet another resized dataset (level 2)",
      "comment_count": 8,
      "views": 0,
      "votes": 5
    },
    {
      "id": 149503,
      "title": "Masks !",
      "comment_count": 2,
      "views": 0,
      "votes": 0
    },
    {
      "id": 149208,
      "title": "looking for a team",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 149150,
      "title": "Tiles training with tensorflow ",
      "comment_count": 0,
      "views": 0,
      "votes": 6
    },
    {
      "id": 149052,
      "title": "Some fun",
      "comment_count": 1,
      "views": 0,
      "votes": 4
    },
    {
      "id": 148863,
      "title": "Image Segmentation: Tips and Tricks",
      "comment_count": 0,
      "views": 0,
      "votes": 4
    },
    {
      "id": 145219,
      "title": "How to submit for unseen test",
      "comment_count": 14,
      "views": 0,
      "votes": 44
    },
    {
      "id": 145203,
      "title": "404 - Not Found while trying to download the data",
      "comment_count": 7,
      "views": 0,
      "votes": 5
    },
    {
      "id": 148865,
      "title": "Image segmentation in 2020: Architectures, Losses, Datasets, and Frameworks",
      "comment_count": 0,
      "views": 0,
      "votes": 5
    },
    {
      "id": 148047,
      "title": "To the organizers",
      "comment_count": 6,
      "views": 0,
      "votes": 0
    },
    {
      "id": 148610,
      "title": "Simple Tile Visualizer and Subplot Display",
      "comment_count": 0,
      "views": 0,
      "votes": 8
    },
    {
      "id": 145184,
      "title": "Number of Training Label masks",
      "comment_count": 3,
      "views": 0,
      "votes": -1
    },
    {
      "id": 147322,
      "title": "1.5M patch's coordinates with targets",
      "comment_count": 7,
      "views": 0,
      "votes": 15
    },
    {
      "id": 148040,
      "title": "Error after some epochs !",
      "comment_count": 4,
      "views": 0,
      "votes": 3
    },
    {
      "id": 148418,
      "title": "Scaling Bounding Boxes for Rapid Cutting of High Res Images",
      "comment_count": 0,
      "views": 0,
      "votes": 4
    },
    {
      "id": 148668,
      "title": "What is the license for the DATA for this competition ?",
      "comment_count": 2,
      "views": 0,
      "votes": 0
    },
    {
      "id": 148572,
      "title": "Combine between tf.data and ImageDataGenerator !",
      "comment_count": 2,
      "views": 0,
      "votes": 0
    },
    {
      "id": 147378,
      "title": "Another institution in the hidden test set ?",
      "comment_count": 7,
      "views": 0,
      "votes": 4
    },
    {
      "id": 148338,
      "title": "Understanding the Metric (QWK): Links",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 146216,
      "title": "[updated] Classification? Segmentation? Some results share",
      "comment_count": 6,
      "views": 0,
      "votes": 27
    },
    {
      "id": 147948,
      "title": "Empty blank image in the dataset",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 147688,
      "title": "Mask with no value - issue with Mask",
      "comment_count": 6,
      "views": 0,
      "votes": 0
    },
    {
      "id": 146332,
      "title": "Firsts experiments on Panda Challenge",
      "comment_count": 30,
      "views": 0,
      "votes": 26
    },
    {
      "id": 147313,
      "title": "Wrong description in data tab",
      "comment_count": 2,
      "views": 0,
      "votes": 7
    },
    {
      "id": 145514,
      "title": "Test Data...",
      "comment_count": 10,
      "views": 0,
      "votes": 0
    },
    {
      "id": 147958,
      "title": "Weighted Train Df Sampling Based on ISUP/Gleason",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 148181,
      "title": "Memory Limit vs Nonetype",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 146248,
      "title": "Tensor object has no attribute .numpy()",
      "comment_count": 22,
      "views": 0,
      "votes": -3
    },
    {
      "id": 147975,
      "title": "What's prostate cancer?",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 148057,
      "title": "Tensorflow 2.2 released!",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 147603,
      "title": "How different is the train and test set?",
      "comment_count": 1,
      "views": 0,
      "votes": 3
    },
    {
      "id": 146284,
      "title": "Google Colab data upload",
      "comment_count": 1,
      "views": 0,
      "votes": 0
    },
    {
      "id": 147910,
      "title": "No \"Commit\" button",
      "comment_count": 2,
      "views": 0,
      "votes": 0
    },
    {
      "id": 147134,
      "title": "TPU !",
      "comment_count": 7,
      "views": 0,
      "votes": 1
    },
    {
      "id": 146807,
      "title": "Submission completion notifications",
      "comment_count": 1,
      "views": 0,
      "votes": 5
    },
    {
      "id": 147534,
      "title": "How many images are in the test set? (Pre-processing Max Time)",
      "comment_count": 2,
      "views": 0,
      "votes": 0
    },
    {
      "id": 147429,
      "title": "Thread for Reduction in Size of Dataset",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 145155,
      "title": "Resized PNG",
      "comment_count": 7,
      "views": 0,
      "votes": 9
    },
    {
      "id": 147076,
      "title": "Tissue Detection and Size Optimization ~80% Shrink",
      "comment_count": 0,
      "views": 0,
      "votes": 5
    },
    {
      "id": 147411,
      "title": "tensorflow code !",
      "comment_count": 2,
      "views": 0,
      "votes": 0
    },
    {
      "id": 147020,
      "title": "Test Data ",
      "comment_count": 2,
      "views": 0,
      "votes": 0
    },
    {
      "id": 146460,
      "title": "TF Addons - Cohen Kappa Metric ",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 147333,
      "title": "meaning of training_label_masks",
      "comment_count": 2,
      "views": 0,
      "votes": 0
    },
    {
      "id": 146139,
      "title": "submission csv not found",
      "comment_count": 4,
      "views": 0,
      "votes": 3
    },
    {
      "id": 147161,
      "title": "Publicly available data",
      "comment_count": 3,
      "views": 0,
      "votes": 0
    },
    {
      "id": 147084,
      "title": "Finetune or train from scratch?",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 145144,
      "title": "a possible baseline? deepmind's solution",
      "comment_count": 4,
      "views": 0,
      "votes": 57
    },
    {
      "id": 146732,
      "title": "Curious about situation when 3 Gleason pattern is observed",
      "comment_count": 2,
      "views": 0,
      "votes": 0
    },
    {
      "id": 146457,
      "title": "How big is the test set?",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 146651,
      "title": "How can I efficiently store image patches?",
      "comment_count": 0,
      "views": 0,
      "votes": 4
    },
    {
      "id": 146939,
      "title": "Has anyone compared vs. data providers?",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 146177,
      "title": "RAM issues",
      "comment_count": 7,
      "views": 0,
      "votes": -1
    },
    {
      "id": 145190,
      "title": "some useful links",
      "comment_count": 4,
      "views": 0,
      "votes": 9
    },
    {
      "id": 146619,
      "title": "Does CV matter?",
      "comment_count": 5,
      "views": 0,
      "votes": 1
    },
    {
      "id": 146773,
      "title": "Does color of the sample matter?",
      "comment_count": 2,
      "views": 0,
      "votes": 0
    },
    {
      "id": 145105,
      "title": "Fast QWK Computation",
      "comment_count": 2,
      "views": 0,
      "votes": 56
    },
    {
      "id": 146338,
      "title": "TIFF vs XML for File Annotations",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 145464,
      "title": "All you wanted to know about Gleason grading system and you were afraid to ask",
      "comment_count": 9,
      "views": 0,
      "votes": 12
    },
    {
      "id": 145131,
      "title": "SOTA for PCa Detection and Classification",
      "comment_count": 3,
      "views": 0,
      "votes": 22
    },
    {
      "id": 145253,
      "title": "Literature Review Thread: Gleason Pattern Classification, Biopsies, Working with Whole Slide Images",
      "comment_count": 6,
      "views": 0,
      "votes": 14
    },
    {
      "id": 145140,
      "title": "Very simple fastai2 training baseline",
      "comment_count": 2,
      "views": 0,
      "votes": 10
    },
    {
      "id": 146459,
      "title": "Where is the test dataset ... still confused?",
      "comment_count": 1,
      "views": 0,
      "votes": 0
    },
    {
      "id": 145118,
      "title": "Information about all public prostate cancer datasets",
      "comment_count": 1,
      "views": 0,
      "votes": 23
    },
    {
      "id": 146005,
      "title": "Gleason Grading system and International Society of Urological Pathology (ISUP) ",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 146237,
      "title": "Model not training on GPU",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 145766,
      "title": "Why kappa !",
      "comment_count": 2,
      "views": 0,
      "votes": 0
    },
    {
      "id": 146124,
      "title": "fastai2 starter kernel",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 145846,
      "title": "Why Gleason Score contains 'Negative' Label?",
      "comment_count": 2,
      "views": 0,
      "votes": 5
    },
    {
      "id": 145278,
      "title": "Optimizer for QWK Metric",
      "comment_count": 0,
      "views": 0,
      "votes": 10
    },
    {
      "id": 145861,
      "title": "Model download and initialization issue !",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 145304,
      "title": "Best Score from Previous Competitions",
      "comment_count": 2,
      "views": 0,
      "votes": 17
    },
    {
      "id": 145850,
      "title": "Resized Image-Mask Overlay ",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 145607,
      "title": "Random crop on slide",
      "comment_count": 1,
      "views": 0,
      "votes": 5
    },
    {
      "id": 146054,
      "title": "What to do?",
      "comment_count": 1,
      "views": 0,
      "votes": 0
    },
    {
      "id": 145669,
      "title": "What is the purpose of the multi-resolution tiff files?",
      "comment_count": 2,
      "views": 0,
      "votes": 3
    },
    {
      "id": 145132,
      "title": "Not All Images are Accessible - 404 Not Found Error",
      "comment_count": 4,
      "views": 0,
      "votes": 5
    },
    {
      "id": 145117,
      "title": "I can't find test data.",
      "comment_count": 8,
      "views": 0,
      "votes": 6
    },
    {
      "id": 145854,
      "title": "Req: Clarity on Masks Color Code & Gleason scores",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 145943,
      "title": "Use simple mask features to predict",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 145619,
      "title": "PDF of PANDA challenge - structured description",
      "comment_count": 1,
      "views": 0,
      "votes": 3
    },
    {
      "id": 145848,
      "title": "Ways to model the problrem",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 145596,
      "title": "How is ground truth decided for measuring pathologist accuracy?",
      "comment_count": 6,
      "views": 0,
      "votes": 0
    },
    {
      "id": 145673,
      "title": "Data too big ",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 145812,
      "title": "Training baseline using Skorch ",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 145158,
      "title": "Understanding The Gleason Score",
      "comment_count": 1,
      "views": 0,
      "votes": 4
    },
    {
      "id": 145412,
      "title": "Any thoughts on removing the extra 100 images in the training set that do not have masks?",
      "comment_count": 3,
      "views": 0,
      "votes": -1
    },
    {
      "id": 145194,
      "title": "Mislabeled Data?",
      "comment_count": 2,
      "views": 0,
      "votes": 3
    },
    {
      "id": 145534,
      "title": "SlideSeg: WSI Library for Deep Learning and Adding Masks from Annotations",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 145280,
      "title": "Are Radboud and Karolinska using different process for imaging ? ",
      "comment_count": 4,
      "views": 0,
      "votes": 2
    },
    {
      "id": 145240,
      "title": "Is there a more manageable Dataset?",
      "comment_count": 5,
      "views": 0,
      "votes": 1
    },
    {
      "id": 145209,
      "title": "Dear competition organizers: just one test image please?",
      "comment_count": 3,
      "views": 0,
      "votes": 3
    },
    {
      "id": 145139,
      "title": "Additional Resources tab is not accessible",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 145292,
      "title": "Unable to open the images locally",
      "comment_count": 5,
      "views": 0,
      "votes": 0
    },
    {
      "id": 145386,
      "title": "Panda challenge",
      "comment_count": 0,
      "views": 0,
      "votes": -1
    },
    {
      "id": 145241,
      "title": "Notebook for starter",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 145204,
      "title": "How to handle WSI?",
      "comment_count": 1,
      "views": 0,
      "votes": 0
    },
    {
      "id": 145189,
      "title": "Small mistake in Additional Resources? [SOLVED]",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 145156,
      "title": "PANDA Competition is not Tabular",
      "comment_count": 2,
      "views": 0,
      "votes": -8
    }
  ],
  "errors": []
}