{
  "id": 164870,
  "title": "List of similar competitions (using DICOM data) from the past",
  "url": "/competitions/osic-pulmonary-fibrosis-progression/discussion/164870",
  "author_name": "",
  "post_date": "2020-07-07T19:01:07.648378400Z",
  "votes": 66,
  "comment_count": 3,
  "views": 0,
  "content": "<p>Links for some of the similar competitions from the past that use <strong>DICOM data</strong>. Might be a good idea to walk through them and look at their corresponding solutions /notebooks.</p>\n\n<p>| Competition| Link  | \n|----------|-----------------|\n| SIIM-ACR Pneumothorax Segmentation | <a href=\"https://www.kaggle.com/c/siim-acr-pneumothorax-segmentation\">https://www.kaggle.com/c/siim-acr-pneumothorax-segmentation</a> |\n|RSNA Intracranial Hemorrhage Detection          | <a href=\"https://www.kaggle.com/c/rsna-intracranial-hemorrhage-detection|\">https://www.kaggle.com/c/rsna-intracranial-hemorrhage-detection|</a>\n| Data Science Bowl 2017         |<a href=\"https://www.kaggle.com/c/data-science-bowl-2017\">https://www.kaggle.com/c/data-science-bowl-2017</a>    |\n|RSNA Pneumonia Detection Challenge          | <a href=\"https://www.kaggle.com/c/rsna-pneumonia-detection-challenge\">https://www.kaggle.com/c/rsna-pneumonia-detection-challenge</a>   |</p>\n\n<p><br></p>\n\n<h3>Some (very)good notebooks that give you a good understanding on how to get started</h3>\n\n<ul>\n<li><a href=\"https://www.kaggle.com/jhoward/don-t-see-like-a-radiologist-fastai\">https://www.kaggle.com/jhoward/don-t-see-like-a-radiologist-fastai</a></li>\n</ul>\n\n<p><br>\nFrom RSNA Intracranial Hemorrhage Detection\n<a href=\"https://www.kaggle.com/marcovasquez/basic-eda-data-visualization\">https://www.kaggle.com/marcovasquez/basic-eda-data-visualization</a></p>\n\n<p><br>\nFrom Data Science Bowl 2017\n* <a href=\"https://www.kaggle.com/vanausloos/full-preprocessing-tutorial\">https://www.kaggle.com/vanausloos/full-preprocessing-tutorial</a> \n* <a href=\"https://www.kaggle.com/sentdex/first-pass-through-data-w-3d-convnet\">https://www.kaggle.com/sentdex/first-pass-through-data-w-3d-convnet</a></p>",
  "messages": [
    {
      "id": "919211",
      "postDate": "07/07/2020 19:01:07",
      "content": "<p>Links for some of the similar competitions from the past that use <strong>DICOM data</strong>. Might be a good idea to walk through them and look at their corresponding solutions /notebooks.</p>\n\n<p>| Competition| Link  | \n|----------|-----------------|\n| SIIM-ACR Pneumothorax Segmentation | <a href=\"https://www.kaggle.com/c/siim-acr-pneumothorax-segmentation\">https://www.kaggle.com/c/siim-acr-pneumothorax-segmentation</a> |\n|RSNA Intracranial Hemorrhage Detection          | <a href=\"https://www.kaggle.com/c/rsna-intracranial-hemorrhage-detection|\">https://www.kaggle.com/c/rsna-intracranial-hemorrhage-detection|</a>\n| Data Science Bowl 2017         |<a href=\"https://www.kaggle.com/c/data-science-bowl-2017\">https://www.kaggle.com/c/data-science-bowl-2017</a>    |\n|RSNA Pneumonia Detection Challenge          | <a href=\"https://www.kaggle.com/c/rsna-pneumonia-detection-challenge\">https://www.kaggle.com/c/rsna-pneumonia-detection-challenge</a>   |</p>\n\n<p><br></p>\n\n<h3>Some (very)good notebooks that give you a good understanding on how to get started</h3>\n\n<ul>\n<li><a href=\"https://www.kaggle.com/jhoward/don-t-see-like-a-radiologist-fastai\">https://www.kaggle.com/jhoward/don-t-see-like-a-radiologist-fastai</a></li>\n</ul>\n\n<p><br>\nFrom RSNA Intracranial Hemorrhage Detection\n<a href=\"https://www.kaggle.com/marcovasquez/basic-eda-data-visualization\">https://www.kaggle.com/marcovasquez/basic-eda-data-visualization</a></p>\n\n<p><br>\nFrom Data Science Bowl 2017\n* <a href=\"https://www.kaggle.com/vanausloos/full-preprocessing-tutorial\">https://www.kaggle.com/vanausloos/full-preprocessing-tutorial</a> \n* <a href=\"https://www.kaggle.com/sentdex/first-pass-through-data-w-3d-convnet\">https://www.kaggle.com/sentdex/first-pass-through-data-w-3d-convnet</a></p>",
      "rawMarkdown": "Links for some of the similar competitions from the past that use **DICOM data**. Might be a good idea to walk through them and look at their corresponding solutions /notebooks.\n\n| Competition| Link  | \n|----------|-----------------|\n| SIIM-ACR Pneumothorax Segmentation | [https://www.kaggle.com/c/siim-acr-pneumothorax-segmentation](https://www.kaggle.com/c/siim-acr-pneumothorax-segmentation) |\n|RSNA Intracranial Hemorrhage Detection          | https://www.kaggle.com/c/rsna-intracranial-hemorrhage-detection|\n| Data Science Bowl 2017         |https://www.kaggle.com/c/data-science-bowl-2017    |\n|RSNA Pneumonia Detection Challenge          | https://www.kaggle.com/c/rsna-pneumonia-detection-challenge   |\n\n<br>\n###Some (very)good notebooks that give you a good understanding on how to get started\n\n* https://www.kaggle.com/jhoward/don-t-see-like-a-radiologist-fastai\n\n<br>\nFrom RSNA Intracranial Hemorrhage Detection\nhttps://www.kaggle.com/marcovasquez/basic-eda-data-visualization\n\n<br>\nFrom Data Science Bowl 2017\n* https://www.kaggle.com/vanausloos/full-preprocessing-tutorial \n* https://www.kaggle.com/sentdex/first-pass-through-data-w-3d-convnet",
      "votes": null
    },
    {
      "id": "919404",
      "postDate": "07/07/2020 20:41:04",
      "content": "<p>Hi, we are looking for a teammate. Would you be interested? I'm a fourth year math student specializing in statistics</p>",
      "rawMarkdown": "Hi, we are looking for a teammate. Would you be interested? I'm a fourth year math student specializing in statistics",
      "votes": null
    },
    {
      "id": "920489",
      "postDate": "07/08/2020 16:21:06",
      "content": "<p>Nice starting reference</p>",
      "rawMarkdown": "Nice starting reference",
      "votes": null
    },
    {
      "id": "924564",
      "postDate": "07/11/2020 14:02:23",
      "content": "<p>Nice reference </p>",
      "rawMarkdown": "Nice reference",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 919404,
      "author_name": "s32lim",
      "author_url": "",
      "post_date": "07/07/2020 20:41:04",
      "content": "<p>Hi, we are looking for a teammate. Would you be interested? I'm a fourth year math student specializing in statistics</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 920489,
      "author_name": "varunyadav17",
      "author_url": "",
      "post_date": "07/08/2020 16:21:06",
      "content": "<p>Nice starting reference</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 924564,
      "author_name": "mariamshehagmailcom",
      "author_url": "",
      "post_date": "07/11/2020 14:02:23",
      "content": "<p>Nice reference </p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "919211": "Links for some of the similar competitions from the past that use **DICOM data**. Might be a good idea to walk through them and look at their corresponding solutions /notebooks.\n\n| Competition| Link  | \n|----------|-----------------|\n| SIIM-ACR Pneumothorax Segmentation | [https://www.kaggle.com/c/siim-acr-pneumothorax-segmentation](https://www.kaggle.com/c/siim-acr-pneumothorax-segmentation) |\n|RSNA Intracranial Hemorrhage Detection          | https://www.kaggle.com/c/rsna-intracranial-hemorrhage-detection|\n| Data Science Bowl 2017         |https://www.kaggle.com/c/data-science-bowl-2017    |\n|RSNA Pneumonia Detection Challenge          | https://www.kaggle.com/c/rsna-pneumonia-detection-challenge   |\n\n<br>\n###Some (very)good notebooks that give you a good understanding on how to get started\n\n* https://www.kaggle.com/jhoward/don-t-see-like-a-radiologist-fastai\n\n<br>\nFrom RSNA Intracranial Hemorrhage Detection\nhttps://www.kaggle.com/marcovasquez/basic-eda-data-visualization\n\n<br>\nFrom Data Science Bowl 2017\n* https://www.kaggle.com/vanausloos/full-preprocessing-tutorial \n* https://www.kaggle.com/sentdex/first-pass-through-data-w-3d-convnet",
    "919404": "Hi, we are looking for a teammate. Would you be interested? I'm a fourth year math student specializing in statistics",
    "920489": "Nice starting reference",
    "924564": "Nice reference"
  },
  "source": "meta"
}