{ "id": 135735, "title": "Useful links for research! (Papers, Solutions, Dataset)", "url": "/competitions/rsna-intracranial-hemorrhage-detection/discussion/135735", "author_name": "Abu Noman Md. Sakib", "post_date": "2020-03-15T16:15:19.981000", "votes": 5, "comment_count": 0, "views": 0, "content": "

Papers:

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Top 5 Solutions:

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Datasets:

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https://www.kaggle.com/c/rsna-intracranial-hemorrhage-detection/data\nhttp://headctstudy.qure.ai/dataset

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Upvote if it was useful. Comment if you find useful resources. I will update the list.

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Thank you!

", "messages": [ { "id": 772561, "postDate": "2020-03-15T16:15:19.983Z", "content": "

Papers:

\n\n\n\n

Top 5 Solutions:

\n\n\n\n

Datasets:

\n\n

https://www.kaggle.com/c/rsna-intracranial-hemorrhage-detection/data\nhttp://headctstudy.qure.ai/dataset

\n\n

Upvote if it was useful. Comment if you find useful resources. I will update the list.

\n\n

Thank you!

", "rawMarkdown": "## Papers:\n\n\n* Hybrid 3D/2D Convolutional Neural Network for Hemorrhage Evaluation on Head CT - https://doi.org/10.3174/ajnr.A5742\n\n* Precise diagnosis of intracranial hemorrhage and subtypes using a three-dimensional joint convolutional and recurrent neural network - https://link.springer.com/article/10.1007/s00330-019-06163-2\n\n* Deep 3D convolution neural network for CT brain hemorrhage classification - https://doi.org/10.1117/12.2293725\n\n* Development and Validation of Deep Learning Algorithms for Detection of Critical Findings in Head CT Scans - https://arxiv.org/abs/1803.05854\n\n* Brain Hemorrhage Diagnosis by Using Deep Learning - https://dl.acm.org/doi/10.1145/3036290.3036326\n\n* Image Thresholding Improves 3-Dimensional Convolutional Neural Network Diagnosis of Different Acute Brain Hemorrhages on Computed Tomography Scans - https://www.mdpi.com/1424-8220/19/9/2167\n\n* Classification of CT brain images based on deep learning networks - https://doi.org/10.1016/j.cmpb.2016.10.007\n\n* RADNET: Radiologist Level Accuracy using Deep Learning for HEMORRHAGE detection in CT Scans - https://arxiv.org/abs/1710.04934\n\n* Application of Deep Learning in Neuroradiology: Brain Haemorrhage Classification Using Transfer Learning - https://doi.org/10.1155/2019/4629859\n\n* Improved ICH classification using task-dependent learning - https://arxiv.org/abs/1907.00148\n\n* Extracting 2D weak labels from volume labels using multiple instance learning in CT hemorrhage detection - https://arxiv.org/pdf/1911.05650.pdf\n\n## Top 5 Solutions:\n\n- **1st solution** - https://www.kaggle.com/c/rsna-intracranial-hemorrhage-detection/discussion/117210\n\n- **2nd solution** - https://www.kaggle.com/c/rsna-intracranial-hemorrhage-detection/discussion/117228\n\n- **3rd solution** - https://www.kaggle.com/c/rsna-intracranial-hemorrhage-detection/discussion/117223\n\n- **4th solution** - https://www.kaggle.com/c/rsna-intracranial-hemorrhage-detection/discussion/118249\n\n- **5th solution** - https://www.kaggle.com/c/rsna-intracranial-hemorrhage-detection/discussion/117232\n\n## Datasets:\nhttps://www.kaggle.com/c/rsna-intracranial-hemorrhage-detection/data\nhttp://headctstudy.qure.ai/dataset\n\n### *Upvote if it was useful. Comment if you find useful resources. I will update the list.*\n\n# Thank you!", "votes": 5 } ], "comments": [], "raw_markdown_by_id": { "772561": "## Papers:\n\n\n* Hybrid 3D/2D Convolutional Neural Network for Hemorrhage Evaluation on Head CT - https://doi.org/10.3174/ajnr.A5742\n\n* Precise diagnosis of intracranial hemorrhage and subtypes using a three-dimensional joint convolutional and recurrent neural network - https://link.springer.com/article/10.1007/s00330-019-06163-2\n\n* Deep 3D convolution neural network for CT brain hemorrhage classification - https://doi.org/10.1117/12.2293725\n\n* Development and Validation of Deep Learning Algorithms for Detection of Critical Findings in Head CT Scans - https://arxiv.org/abs/1803.05854\n\n* Brain Hemorrhage Diagnosis by Using Deep Learning - https://dl.acm.org/doi/10.1145/3036290.3036326\n\n* Image Thresholding Improves 3-Dimensional Convolutional Neural Network Diagnosis of Different Acute Brain Hemorrhages on Computed Tomography Scans - https://www.mdpi.com/1424-8220/19/9/2167\n\n* Classification of CT brain images based on deep learning networks - https://doi.org/10.1016/j.cmpb.2016.10.007\n\n* RADNET: Radiologist Level Accuracy using Deep Learning for HEMORRHAGE detection in CT Scans - https://arxiv.org/abs/1710.04934\n\n* Application of Deep Learning in Neuroradiology: Brain Haemorrhage Classification Using Transfer Learning - https://doi.org/10.1155/2019/4629859\n\n* Improved ICH classification using task-dependent learning - https://arxiv.org/abs/1907.00148\n\n* Extracting 2D weak labels from volume labels using multiple instance learning in CT hemorrhage detection - https://arxiv.org/pdf/1911.05650.pdf\n\n## Top 5 Solutions:\n\n- **1st solution** - https://www.kaggle.com/c/rsna-intracranial-hemorrhage-detection/discussion/117210\n\n- **2nd solution** - https://www.kaggle.com/c/rsna-intracranial-hemorrhage-detection/discussion/117228\n\n- **3rd solution** - https://www.kaggle.com/c/rsna-intracranial-hemorrhage-detection/discussion/117223\n\n- **4th solution** - https://www.kaggle.com/c/rsna-intracranial-hemorrhage-detection/discussion/118249\n\n- **5th solution** - https://www.kaggle.com/c/rsna-intracranial-hemorrhage-detection/discussion/117232\n\n## Datasets:\nhttps://www.kaggle.com/c/rsna-intracranial-hemorrhage-detection/data\nhttp://headctstudy.qure.ai/dataset\n\n### *Upvote if it was useful. Comment if you find useful resources. I will update the list.*\n\n# Thank you!" } }