{
  "total": 243,
  "topics": [
    {
      "id": 189545,
      "title": "TFRecords Available",
      "comment_count": 20,
      "views": 0,
      "votes": 44
    },
    {
      "id": 182251,
      "title": "Welcome to the competition!",
      "comment_count": 37,
      "views": 0,
      "votes": 10
    },
    {
      "id": 183473,
      "title": "Label Consistency Requirement Details",
      "comment_count": 55,
      "views": 0,
      "votes": 35
    },
    {
      "id": 183143,
      "title": "Looking for a Team Thread",
      "comment_count": 43,
      "views": 0,
      "votes": 6
    },
    {
      "id": 182235,
      "title": "All data downloads are now working",
      "comment_count": 8,
      "views": 0,
      "votes": 9
    },
    {
      "id": 183147,
      "title": "New to Machine Learning or Kaggle?",
      "comment_count": 0,
      "views": 0,
      "votes": 4
    },
    {
      "id": 612084,
      "title": "Having trouble with download of full dataset",
      "comment_count": 1,
      "views": 0,
      "votes": 0
    },
    {
      "id": 194145,
      "title": "1st place solution with code",
      "comment_count": 28,
      "views": 0,
      "votes": 150
    },
    {
      "id": 400260,
      "title": "Annotation ",
      "comment_count": 2,
      "views": 0,
      "votes": 0
    },
    {
      "id": 393473,
      "title": "How can I split the Train image dataset in kaggle into train, test and validation ?",
      "comment_count": 3,
      "views": 0,
      "votes": 0
    },
    {
      "id": 192856,
      "title": "To the data contributors, annotators, and organizers: Thank You",
      "comment_count": 6,
      "views": 0,
      "votes": 46
    },
    {
      "id": 181810,
      "title": "Helpful resources",
      "comment_count": 4,
      "views": 0,
      "votes": 19
    },
    {
      "id": 193401,
      "title": "[2nd place] Solution Overview & Code",
      "comment_count": 39,
      "views": 0,
      "votes": 135
    },
    {
      "id": 193338,
      "title": "Possible cross teaming in Gold Zone",
      "comment_count": 16,
      "views": 0,
      "votes": 23
    },
    {
      "id": 190879,
      "title": "MONAI 3D CNN Baseline",
      "comment_count": 30,
      "views": 0,
      "votes": 82
    },
    {
      "id": 193505,
      "title": "10th Place Solution with code",
      "comment_count": 21,
      "views": 0,
      "votes": 44
    },
    {
      "id": 182158,
      "title": "Computer-Aided Pulmonary Embolism Detection Papers !!!",
      "comment_count": 1,
      "views": 0,
      "votes": 4
    },
    {
      "id": 186846,
      "title": "2D vs 3D ConvNet?",
      "comment_count": 5,
      "views": 0,
      "votes": 6
    },
    {
      "id": 193402,
      "title": "23rd Place - Fast GPU Experimentation Pipeline!",
      "comment_count": 56,
      "views": 0,
      "votes": 90
    },
    {
      "id": 193795,
      "title": "List of top solutions and resources",
      "comment_count": 4,
      "views": 0,
      "votes": 26
    },
    {
      "id": 195865,
      "title": "6th place solution",
      "comment_count": 3,
      "views": 0,
      "votes": 21
    },
    {
      "id": 193970,
      "title": "4th place solution",
      "comment_count": 5,
      "views": 0,
      "votes": 45
    },
    {
      "id": 193598,
      "title": "How To Beat Baselines Explained",
      "comment_count": 8,
      "views": 0,
      "votes": 39
    },
    {
      "id": 193624,
      "title": "Wow - Baseline Scores 38th Place Silver Medal - Private LB 0.208",
      "comment_count": 9,
      "views": 0,
      "votes": 29
    },
    {
      "id": 193460,
      "title": "7th place - EfficientNet, Transformer and a 2nd opinion [edited]",
      "comment_count": 7,
      "views": 0,
      "votes": 54
    },
    {
      "id": 193404,
      "title": "18th place solution",
      "comment_count": 12,
      "views": 0,
      "votes": 22
    },
    {
      "id": 193424,
      "title": "3rd place 0.156 public lb, 0.148 private lb",
      "comment_count": 20,
      "views": 0,
      "votes": 33
    },
    {
      "id": 193423,
      "title": "30th Place Solution",
      "comment_count": 14,
      "views": 0,
      "votes": 27
    },
    {
      "id": 194168,
      "title": "Dealing with Transformers OOM",
      "comment_count": 1,
      "views": 0,
      "votes": 5
    },
    {
      "id": 193475,
      "title": "5th Place Solution Overview",
      "comment_count": 11,
      "views": 0,
      "votes": 52
    },
    {
      "id": 193407,
      "title": "Congratulations Jonny Lee and Sin - New Competition Masters!",
      "comment_count": 28,
      "views": 0,
      "votes": 23
    },
    {
      "id": 193244,
      "title": "There are several truly talented competitors",
      "comment_count": 40,
      "views": 0,
      "votes": 46
    },
    {
      "id": 194012,
      "title": "RSNA STR: Shakeup scatterplot",
      "comment_count": 0,
      "views": 0,
      "votes": 11
    },
    {
      "id": 193506,
      "title": "Provisional 8th Place Solution - Monai x EfficientNets x LGBM",
      "comment_count": 7,
      "views": 0,
      "votes": 27
    },
    {
      "id": 193408,
      "title": "28th Place - Quick writeup - Improving the baseline",
      "comment_count": 13,
      "views": 0,
      "votes": 21
    },
    {
      "id": 193422,
      "title": "A CNN Post-Processing method for Image level.",
      "comment_count": 2,
      "views": 0,
      "votes": 19
    },
    {
      "id": 193417,
      "title": "9th place solution ( + github code)",
      "comment_count": 6,
      "views": 0,
      "votes": 21
    },
    {
      "id": 193252,
      "title": "Server congestion??",
      "comment_count": 47,
      "views": 0,
      "votes": 28
    },
    {
      "id": 193415,
      "title": "12th Place Solution",
      "comment_count": 9,
      "views": 0,
      "votes": 24
    },
    {
      "id": 193372,
      "title": "Be careful with cheating",
      "comment_count": 21,
      "views": 0,
      "votes": 15
    },
    {
      "id": 193632,
      "title": "Top 2 Suspicious Team got Removed from the Leaderboard",
      "comment_count": 0,
      "views": 0,
      "votes": 16
    },
    {
      "id": 193410,
      "title": "Huge drop...(0.183 --> 0.398) any clues? (Attached submission notebook)",
      "comment_count": 9,
      "views": 0,
      "votes": 9
    },
    {
      "id": 191954,
      "title": "Yet another baseline: Implementation referencing last year RSNA challenge",
      "comment_count": 73,
      "views": 0,
      "votes": 44
    },
    {
      "id": 193680,
      "title": "This user is blocked. You're only seeing this page because you're a site admin. ",
      "comment_count": 5,
      "views": 0,
      "votes": 6
    },
    {
      "id": 193469,
      "title": "Segmentation model with external dataset (+0.11 on CV/LB)",
      "comment_count": 2,
      "views": 0,
      "votes": 11
    },
    {
      "id": 193400,
      "title": "[54th solution] Baseline inference optimization with TTA (No additional training)",
      "comment_count": 14,
      "views": 0,
      "votes": 12
    },
    {
      "id": 193534,
      "title": "Why is LSTM or GRU effective for this competition?",
      "comment_count": 9,
      "views": 0,
      "votes": 3
    },
    {
      "id": 192957,
      "title": "The \"BASELINE\" thing",
      "comment_count": 6,
      "views": 0,
      "votes": 16
    },
    {
      "id": 193383,
      "title": "What to do when the competition is over (or almost over)",
      "comment_count": 1,
      "views": 0,
      "votes": 10
    },
    {
      "id": 193414,
      "title": "Why so many 0.208?",
      "comment_count": 9,
      "views": 0,
      "votes": 4
    },
    {
      "id": 193722,
      "title": "when are we going to read Guanshuo Xu solution?",
      "comment_count": 8,
      "views": 0,
      "votes": -2
    },
    {
      "id": 193183,
      "title": "the competition is closing to an end and my brain is getting hard fried.",
      "comment_count": 13,
      "views": 0,
      "votes": 6
    },
    {
      "id": 193314,
      "title": "Check label consistency before writing your submission file",
      "comment_count": 2,
      "views": 0,
      "votes": 7
    },
    {
      "id": 191984,
      "title": "Sharing before Merging",
      "comment_count": 7,
      "views": 0,
      "votes": 28
    },
    {
      "id": 192519,
      "title": "Best augmentations to use for TTA",
      "comment_count": 16,
      "views": 0,
      "votes": 9
    },
    {
      "id": 193436,
      "title": "Should (would) the 'baseline' submissions be removed (for LB ranking)?",
      "comment_count": 6,
      "views": 0,
      "votes": -3
    },
    {
      "id": 193381,
      "title": "Notebook Timeout Error",
      "comment_count": 3,
      "views": 0,
      "votes": 5
    },
    {
      "id": 193230,
      "title": "Does the competition deadline extend to the re-run time?",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 192950,
      "title": "How are people calculating their inference times?",
      "comment_count": 4,
      "views": 0,
      "votes": 6
    },
    {
      "id": 193353,
      "title": "All the best ! Shake Up less likely ?",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 192985,
      "title": "Kaggle GPU timer counting",
      "comment_count": 3,
      "views": 0,
      "votes": 5
    },
    {
      "id": 193388,
      "title": "How to select a running submission at the last minute?",
      "comment_count": 2,
      "views": 0,
      "votes": 0
    },
    {
      "id": 192926,
      "title": "Some suggestions for last 42 hours GPU",
      "comment_count": 3,
      "views": 0,
      "votes": 5
    },
    {
      "id": 193285,
      "title": "Leaderboard scoring speed up idea ",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 192740,
      "title": "Bug of HOST CONFIRMED - Label Consistency Check Notebook",
      "comment_count": 0,
      "views": 0,
      "votes": 14
    },
    {
      "id": 193472,
      "title": "I Dont see my submissions!!",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 192674,
      "title": "Is the compute too big for this competition?",
      "comment_count": 24,
      "views": 0,
      "votes": 2
    },
    {
      "id": 193296,
      "title": "Stage2 Model not using GPU",
      "comment_count": 2,
      "views": 0,
      "votes": -5
    },
    {
      "id": 192341,
      "title": "Anyone using Google Cloud?",
      "comment_count": 14,
      "views": 0,
      "votes": 4
    },
    {
      "id": 192263,
      "title": "Datasets for colab users",
      "comment_count": 4,
      "views": 0,
      "votes": 11
    },
    {
      "id": 192868,
      "title": "Shakeup like last year?",
      "comment_count": 2,
      "views": 0,
      "votes": 3
    },
    {
      "id": 192284,
      "title": "Watch out for jpg compression",
      "comment_count": 4,
      "views": 0,
      "votes": 14
    },
    {
      "id": 192841,
      "title": "how good are our models doing?",
      "comment_count": 5,
      "views": 0,
      "votes": 1
    },
    {
      "id": 192607,
      "title": "Is it Necessary to Use All train data",
      "comment_count": 3,
      "views": 0,
      "votes": 3
    },
    {
      "id": 192623,
      "title": "Memory leak in PyTorch DataLoader",
      "comment_count": 4,
      "views": 0,
      "votes": 2
    },
    {
      "id": 190964,
      "title": "Image Level PE detection CV",
      "comment_count": 1,
      "views": 0,
      "votes": 24
    },
    {
      "id": 192697,
      "title": "Why there are more submission samples than test samples?",
      "comment_count": 2,
      "views": 0,
      "votes": 0
    },
    {
      "id": 190849,
      "title": "Any tips on increasing IO speed?",
      "comment_count": 14,
      "views": 0,
      "votes": 3
    },
    {
      "id": 192685,
      "title": "How to send a quick submission?",
      "comment_count": 3,
      "views": 0,
      "votes": 0
    },
    {
      "id": 192786,
      "title": "Memory leak when opening many files - minimal complete example",
      "comment_count": 6,
      "views": 0,
      "votes": 0
    },
    {
      "id": 191542,
      "title": "Storing preprocessed data",
      "comment_count": 16,
      "views": 0,
      "votes": 2
    },
    {
      "id": 190001,
      "title": "Submission file not found ",
      "comment_count": 10,
      "views": 0,
      "votes": 5
    },
    {
      "id": 192297,
      "title": "Question regarding private test run time",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 192095,
      "title": "Catching up with the baseline!!",
      "comment_count": 3,
      "views": 0,
      "votes": -11
    },
    {
      "id": 191982,
      "title": "Submission Scoring Error",
      "comment_count": 2,
      "views": 0,
      "votes": 4
    },
    {
      "id": 192489,
      "title": "How to generate a new dataset",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 191694,
      "title": "Getting good cv but no lb ",
      "comment_count": 7,
      "views": 0,
      "votes": 5
    },
    {
      "id": 190155,
      "title": "Question about consistency rules",
      "comment_count": 5,
      "views": 0,
      "votes": 6
    },
    {
      "id": 192168,
      "title": "Script to Read DICOM metadata",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 192409,
      "title": "My model is making the same prediction for all inputs.",
      "comment_count": 5,
      "views": 0,
      "votes": 0
    },
    {
      "id": 191163,
      "title": "Can someone help a late participant like me for this question?",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 189406,
      "title": "Is this a correct direction",
      "comment_count": 6,
      "views": 0,
      "votes": 1
    },
    {
      "id": 191457,
      "title": "How to break 9 hours notebook limit?",
      "comment_count": 6,
      "views": 0,
      "votes": 6
    },
    {
      "id": 192040,
      "title": "\"Notebook Threw Exception\" error",
      "comment_count": 1,
      "views": 0,
      "votes": 0
    },
    {
      "id": 191816,
      "title": "Can I only include inference but not training in the notebook submitted?",
      "comment_count": 2,
      "views": 0,
      "votes": 0
    },
    {
      "id": 191657,
      "title": "MONAI transforms and TPU?",
      "comment_count": 6,
      "views": 0,
      "votes": 0
    },
    {
      "id": 191913,
      "title": "[For LB leaders] How much model training for top LB scores?",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 182930,
      "title": "STARTER DATASET: Train JPEGs (256x256)",
      "comment_count": 66,
      "views": 0,
      "votes": 193
    },
    {
      "id": 187306,
      "title": "Did anyone come up with Augmentations ? ",
      "comment_count": 8,
      "views": 0,
      "votes": 5
    },
    {
      "id": 186989,
      "title": "Note on Leaderboard and Private/Public test sets",
      "comment_count": 20,
      "views": 0,
      "votes": 23
    },
    {
      "id": 191466,
      "title": "Did anyone use Google Colab Pro for training ? Or any place where I can have 2 GPU for training. ",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 191678,
      "title": "is classification or smart segmentation problem ?",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 191317,
      "title": "Which kind of augmentation should we NOT use?",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 191410,
      "title": "Notebook Exceeded Allowed Compute Error",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 189685,
      "title": "'Submission Not Found Error' solved!! Anyone able to do inference without 'try' and 'except'? ",
      "comment_count": 10,
      "views": 0,
      "votes": 1
    },
    {
      "id": 191312,
      "title": "Am I wasting my time trying pytorch on Jpegs?",
      "comment_count": 7,
      "views": 0,
      "votes": 0
    },
    {
      "id": 185742,
      "title": "PE Training Dataset 512x512 JPEG",
      "comment_count": 9,
      "views": 0,
      "votes": 25
    },
    {
      "id": 183176,
      "title": "Starting Point: Last Year's RSNA Challenge",
      "comment_count": 15,
      "views": 0,
      "votes": 57
    },
    {
      "id": 191266,
      "title": "Metric ideas and train all labels, maybe can help in the end.",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 190798,
      "title": "[Solved -> OOM] - Submission CSV Not Found when setting the random seed?",
      "comment_count": 9,
      "views": 0,
      "votes": 2
    },
    {
      "id": 189977,
      "title": "Last year top place solution",
      "comment_count": 3,
      "views": 0,
      "votes": 25
    },
    {
      "id": 191393,
      "title": "Submission Scoring Error",
      "comment_count": 1,
      "views": 0,
      "votes": -1
    },
    {
      "id": 185084,
      "title": "Most Important Paper to Understand PE from CT-Angiograms",
      "comment_count": 6,
      "views": 0,
      "votes": 10
    },
    {
      "id": 187457,
      "title": "Training on Colab - Lack of Disk Space",
      "comment_count": 22,
      "views": 0,
      "votes": 4
    },
    {
      "id": 191306,
      "title": "Anyone try top solution in last year?",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 190411,
      "title": "Only 39 teams have beaten public  baseline",
      "comment_count": 10,
      "views": 0,
      "votes": 0
    },
    {
      "id": 191232,
      "title": "Notebook Timeout",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 186578,
      "title": "Shakeup for this competition?",
      "comment_count": 5,
      "views": 0,
      "votes": 3
    },
    {
      "id": 191310,
      "title": "Understanding of Batchsize in this competition",
      "comment_count": 0,
      "views": 0,
      "votes": -4
    },
    {
      "id": 190592,
      "title": "Submissions - noob question",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 182809,
      "title": "FUMPE dataset made available for everyone",
      "comment_count": 6,
      "views": 0,
      "votes": 24
    },
    {
      "id": 190099,
      "title": "Some CNN network modeling suggestions",
      "comment_count": 1,
      "views": 0,
      "votes": 9
    },
    {
      "id": 187962,
      "title": "This is an implementation of metric function",
      "comment_count": 3,
      "views": 0,
      "votes": 6
    },
    {
      "id": 186982,
      "title": "Saving time and GPU before submitting",
      "comment_count": 16,
      "views": 0,
      "votes": 74
    },
    {
      "id": 183924,
      "title": "Clarifying the competition's metric",
      "comment_count": 23,
      "views": 0,
      "votes": 33
    },
    {
      "id": 190332,
      "title": "Public LB Notebook",
      "comment_count": 4,
      "views": 0,
      "votes": 2
    },
    {
      "id": 189847,
      "title": "How to get right order?",
      "comment_count": 4,
      "views": 0,
      "votes": 5
    },
    {
      "id": 190550,
      "title": "Will there be overfitting in this competition?",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 190943,
      "title": "Looking for a team",
      "comment_count": 3,
      "views": 0,
      "votes": -3
    },
    {
      "id": 190278,
      "title": "How approach is better?",
      "comment_count": 4,
      "views": 0,
      "votes": 0
    },
    {
      "id": 190643,
      "title": "GPU vs CPU time the same?",
      "comment_count": 5,
      "views": 0,
      "votes": -1
    },
    {
      "id": 189061,
      "title": "any hint to beat baseline",
      "comment_count": 17,
      "views": 0,
      "votes": 1
    },
    {
      "id": 190144,
      "title": "How colab get the matched file path based on kaggle gcs path",
      "comment_count": 3,
      "views": 0,
      "votes": -1
    },
    {
      "id": 190060,
      "title": "Mean Baseline Submission sub['label'] = 0.2799 ?",
      "comment_count": 3,
      "views": 0,
      "votes": 3
    },
    {
      "id": 183689,
      "title": "errors for submitting results",
      "comment_count": 10,
      "views": 0,
      "votes": 0
    },
    {
      "id": 190181,
      "title": "Questions about the informational labels",
      "comment_count": 8,
      "views": 0,
      "votes": 0
    },
    {
      "id": 190176,
      "title": "Acute and chronic at the same time?",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 183121,
      "title": "Has anyone tried label-smoothing at the element level, when using random cropping in such tasks?",
      "comment_count": 1,
      "views": 0,
      "votes": 3
    },
    {
      "id": 182549,
      "title": "Comparison of the Networks",
      "comment_count": 3,
      "views": 0,
      "votes": 5
    },
    {
      "id": 190197,
      "title": "Diff between -ve exam for PE and pe_present_on_image",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 190042,
      "title": "How to find best parameters for xgboost / LightGBM",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 188791,
      "title": "Submission CSV not found",
      "comment_count": 6,
      "views": 0,
      "votes": 0
    },
    {
      "id": 185070,
      "title": "inference Time",
      "comment_count": 6,
      "views": 0,
      "votes": 5
    },
    {
      "id": 182376,
      "title": "Pulmonary Embolism: A Brief Intro",
      "comment_count": 11,
      "views": 0,
      "votes": 108
    },
    {
      "id": 190078,
      "title": "Which device does you guys use?",
      "comment_count": 2,
      "views": 0,
      "votes": -1
    },
    {
      "id": 189957,
      "title": "Any pinned thread for external data??",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 190061,
      "title": "RV/LV Label is mutually exclusive?",
      "comment_count": 5,
      "views": 0,
      "votes": 0
    },
    {
      "id": 189459,
      "title": "How to add tabular_data with your image_model",
      "comment_count": 6,
      "views": 0,
      "votes": 4
    },
    {
      "id": 190260,
      "title": "Notebook Timeout error ",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 190240,
      "title": "Is this image or tabular competition?",
      "comment_count": 1,
      "views": 0,
      "votes": 0
    },
    {
      "id": 189997,
      "title": "Use 0 as a prediction",
      "comment_count": 3,
      "views": 0,
      "votes": 0
    },
    {
      "id": 190140,
      "title": "Why each patient has 0 and 1 slices",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 190137,
      "title": "How Submit Prediction?",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 187823,
      "title": "Private Test Set `pydicom.dcmread` Error",
      "comment_count": 8,
      "views": 0,
      "votes": 3
    },
    {
      "id": 189546,
      "title": "Would appreciate any comment on this TensorBoard log on DenseNet-121 transfer learning",
      "comment_count": 3,
      "views": 0,
      "votes": 0
    },
    {
      "id": 183986,
      "title": "One series per study? + Question on Label Definition",
      "comment_count": 5,
      "views": 0,
      "votes": 5
    },
    {
      "id": 181970,
      "title": "Can you provide us some ways to download this? ",
      "comment_count": 11,
      "views": 0,
      "votes": 8
    },
    {
      "id": 190077,
      "title": "data download not work",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 188019,
      "title": "Will there ever be multiple series per study?",
      "comment_count": 7,
      "views": 0,
      "votes": 8
    },
    {
      "id": 189818,
      "title": "Memory and Session Metrics",
      "comment_count": 1,
      "views": 0,
      "votes": 0
    },
    {
      "id": 189370,
      "title": "Broken Data?",
      "comment_count": 6,
      "views": 0,
      "votes": 2
    },
    {
      "id": 189466,
      "title": "Internet use and pre trained models",
      "comment_count": 5,
      "views": 0,
      "votes": 1
    },
    {
      "id": 183850,
      "title": "What are we actually looking for?",
      "comment_count": 8,
      "views": 0,
      "votes": 46
    },
    {
      "id": 183836,
      "title": "Train PNG(512x512)",
      "comment_count": 8,
      "views": 0,
      "votes": 9
    },
    {
      "id": 189408,
      "title": "too much data",
      "comment_count": 3,
      "views": 0,
      "votes": 0
    },
    {
      "id": 186680,
      "title": "Metric Clarification, Python Code - 2",
      "comment_count": 3,
      "views": 0,
      "votes": 18
    },
    {
      "id": 188886,
      "title": "How long does it take to Scoring the Submission file?",
      "comment_count": 2,
      "views": 0,
      "votes": 0
    },
    {
      "id": 188646,
      "title": "Fine Tuning Xception Net along with Dense Layers Kernel ",
      "comment_count": 2,
      "views": 0,
      "votes": 3
    },
    {
      "id": 189020,
      "title": "Runtime(Save and Run All) >> Runtime(manually). Why?!",
      "comment_count": 1,
      "views": 0,
      "votes": 0
    },
    {
      "id": 185461,
      "title": "submission errors",
      "comment_count": 11,
      "views": 0,
      "votes": 3
    },
    {
      "id": 188006,
      "title": "Best fill Nan value.",
      "comment_count": 5,
      "views": 0,
      "votes": 1
    },
    {
      "id": 187060,
      "title": "anyone has a working submission notebook",
      "comment_count": 16,
      "views": 0,
      "votes": 3
    },
    {
      "id": 188782,
      "title": "Submission file.",
      "comment_count": 4,
      "views": 0,
      "votes": 0
    },
    {
      "id": 188472,
      "title": "Any similar past competitions?",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 188570,
      "title": "Single model for both exam and slice labels",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 188556,
      "title": "anyone have created the custom Performance metrics for TF? ",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 187927,
      "title": "Educational Merit Distinction",
      "comment_count": 0,
      "views": 0,
      "votes": 11
    },
    {
      "id": 187787,
      "title": "BCEWithLogitsLoss Label Smooth",
      "comment_count": 2,
      "views": 0,
      "votes": 11
    },
    {
      "id": 188238,
      "title": "The score doesn't change at all !!",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 181842,
      "title": "Submission Format Clarified ✔️✔️",
      "comment_count": 3,
      "views": 0,
      "votes": 8
    },
    {
      "id": 186652,
      "title": "How can I downlaod this large Datasets?",
      "comment_count": 7,
      "views": 0,
      "votes": 4
    },
    {
      "id": 188345,
      "title": "ConnectionError: Connection error trying to communicate with service.  --- when loading tfrecords",
      "comment_count": 1,
      "views": 0,
      "votes": 0
    },
    {
      "id": 188199,
      "title": "Dataset Downloading spend much time",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 187473,
      "title": "Submission Scoring Error",
      "comment_count": 2,
      "views": 0,
      "votes": 3
    },
    {
      "id": 187487,
      "title": "Preprocessed train dataset - 128x128 npy files monochannel",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 185991,
      "title": "Stratified Validation Strategy Starter and Ideas to Deal with Huge Dataset",
      "comment_count": 8,
      "views": 0,
      "votes": 29
    },
    {
      "id": 186531,
      "title": "[0929 Updated] More about Competition Metric Implementation",
      "comment_count": 4,
      "views": 0,
      "votes": 24
    },
    {
      "id": 187791,
      "title": "issue with submission",
      "comment_count": 5,
      "views": 0,
      "votes": 0
    },
    {
      "id": 187528,
      "title": "Against the rules to share preprocessed data sets?",
      "comment_count": 1,
      "views": 0,
      "votes": 0
    },
    {
      "id": 187305,
      "title": "Kaggle API",
      "comment_count": 3,
      "views": 0,
      "votes": 0
    },
    {
      "id": 187474,
      "title": "Distributed Training for Large Datasets with TPUs",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 186660,
      "title": "Simple ITK Error",
      "comment_count": 16,
      "views": 0,
      "votes": 3
    },
    {
      "id": 186883,
      "title": "Important Research Papers for Competition",
      "comment_count": 0,
      "views": 0,
      "votes": 4
    },
    {
      "id": 186163,
      "title": "Inference time ",
      "comment_count": 10,
      "views": 0,
      "votes": 9
    },
    {
      "id": 187280,
      "title": "Types Of Input Settings",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 183125,
      "title": "Study level and Image/Slice level prediction using single model?",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 183780,
      "title": "RuntimeError: ... missing required dependencies: GDCM (req. GDCM)",
      "comment_count": 3,
      "views": 0,
      "votes": 0
    },
    {
      "id": 183983,
      "title": "Multi-Label Classification Problem?",
      "comment_count": 6,
      "views": 0,
      "votes": 4
    },
    {
      "id": 186355,
      "title": "Submission timeout",
      "comment_count": 5,
      "views": 0,
      "votes": 2
    },
    {
      "id": 186550,
      "title": "nice progress bar reference for large unzips",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 185187,
      "title": "Do I understand Study/Series/SOP correctly?",
      "comment_count": 5,
      "views": 0,
      "votes": 9
    },
    {
      "id": 185125,
      "title": "HIgh RAM occupation",
      "comment_count": 4,
      "views": 0,
      "votes": 3
    },
    {
      "id": 185969,
      "title": "pytorch lightning tpu",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 185821,
      "title": "Thinking of joining",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 185532,
      "title": "Can Someone Please Explain What is a Difference Between Study and Image Level ?",
      "comment_count": 1,
      "views": 0,
      "votes": 3
    },
    {
      "id": 183703,
      "title": "PE Pipeline Tensorflow and DICOM",
      "comment_count": 9,
      "views": 0,
      "votes": 6
    },
    {
      "id": 184007,
      "title": "Notifications about comments on Notebook??",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 183769,
      "title": "Validation scheme",
      "comment_count": 1,
      "views": 0,
      "votes": 5
    },
    {
      "id": 183951,
      "title": "Code requirements ",
      "comment_count": 3,
      "views": 0,
      "votes": 0
    },
    {
      "id": 185230,
      "title": "Looking for Teammates/ a Team to Join",
      "comment_count": 0,
      "views": 0,
      "votes": -1
    },
    {
      "id": 182801,
      "title": "Large DataSet - can get started in Notebooks",
      "comment_count": 3,
      "views": 0,
      "votes": 16
    },
    {
      "id": 182736,
      "title": "Relationship between StudyInstanceUID,SeriesInstanceUID and SOPInstanceUID ",
      "comment_count": 3,
      "views": 0,
      "votes": 3
    },
    {
      "id": 183161,
      "title": "Publicly Available Lung Segmentation Model",
      "comment_count": 4,
      "views": 0,
      "votes": 7
    },
    {
      "id": 185071,
      "title": "How do you calculate image level log loss?",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 182894,
      "title": "Are EfficientNets useful in this competition ?",
      "comment_count": 5,
      "views": 0,
      "votes": 5
    },
    {
      "id": 183064,
      "title": "Can Someone Please Explain Meaning of Inference only Competition ?",
      "comment_count": 6,
      "views": 0,
      "votes": 1
    },
    {
      "id": 183845,
      "title": "enviroment problem",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 183788,
      "title": "What is a STUDY, a SERIES and finally SOPInstanceUID ? ",
      "comment_count": 2,
      "views": 0,
      "votes": 0
    },
    {
      "id": 183742,
      "title": "Question on labels negative_exam_for_pe and pe_present_on_image",
      "comment_count": 2,
      "views": 0,
      "votes": 0
    },
    {
      "id": 181969,
      "title": "Dicom preprocessed data",
      "comment_count": 1,
      "views": 0,
      "votes": 7
    },
    {
      "id": 183409,
      "title": "How long does it take to train for one epoch and inference?",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 183678,
      "title": "I can't descompress after downloading with kaggle competitions download -c rsna-str-pulmonary-embolism-detection",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 183648,
      "title": "Pytorch notebook but with a problem",
      "comment_count": 1,
      "views": 0,
      "votes": 0
    },
    {
      "id": 181785,
      "title": "How to handle such huge data?",
      "comment_count": 18,
      "views": 0,
      "votes": 5
    },
    {
      "id": 183292,
      "title": "PyTorch and FastAI v2",
      "comment_count": 3,
      "views": 0,
      "votes": 0
    },
    {
      "id": 183466,
      "title": "Label hierarchy vs log-loss?",
      "comment_count": 2,
      "views": 0,
      "votes": 0
    },
    {
      "id": 183457,
      "title": "Image-level weighted log loss",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 182172,
      "title": "Missing required dependencies: GDCM ",
      "comment_count": 8,
      "views": 0,
      "votes": 4
    },
    {
      "id": 183191,
      "title": "Questions regarding submission",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 181815,
      "title": "predicting a number of labels, at both the image and study level",
      "comment_count": 4,
      "views": 0,
      "votes": 2
    },
    {
      "id": 182713,
      "title": "Submission label",
      "comment_count": 4,
      "views": 0,
      "votes": -1
    },
    {
      "id": 181861,
      "title": "Research Work on PE Detection",
      "comment_count": 0,
      "views": 0,
      "votes": 13
    },
    {
      "id": 181952,
      "title": "Collaboration",
      "comment_count": 3,
      "views": 0,
      "votes": 0
    },
    {
      "id": 182682,
      "title": "Do some dcm images look like grayscale pixels? ",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 182675,
      "title": " Understanding Transfer Learning for Medical Imaging",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 182088,
      "title": "Cutmix in Tensorflow 2.x",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 181873,
      "title": "Understanding Submission and some basic insights from the data",
      "comment_count": 2,
      "views": 0,
      "votes": 3
    },
    {
      "id": 182499,
      "title": "Dicom Preprocessing",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 181736,
      "title": "`404 - Not Found` Temporary Solution",
      "comment_count": 3,
      "views": 0,
      "votes": 3
    },
    {
      "id": 181871,
      "title": "More References",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 182144,
      "title": "Kernel Internet off submission",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 182254,
      "title": "Joining a team ",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 181734,
      "title": "404 - Not Found (KAGGLE API)",
      "comment_count": 5,
      "views": 0,
      "votes": 1
    }
  ],
  "errors": []
}