{
  "id": 253074,
  "title": "Overview of fastai notebooks - Redux",
  "url": "/competitions/rsna-miccai-brain-tumor-radiogenomic-classification/discussion/253074",
  "author_name": "",
  "post_date": "2021-07-14T21:45:14.162268600Z",
  "votes": 14,
  "comment_count": 3,
  "views": 0,
  "content": "<p>I was looking at a previous RSNA competition and found this really great discussion by Jeremy Howard (the founder of fastai). </p>\n<p>Jeremy created 5 connected notebooks for this competition. Here are the notebooks, in order:</p>\n<ul>\n<li><a href=\"https://www.kaggle.com/jhoward/creating-a-metadata-dataframe-fastai\" target=\"_blank\">Creating a metadata DataFrame</a></li>\n<li><a href=\"https://www.kaggle.com/jhoward/some-dicom-gotchas-to-be-aware-of-fastai\" target=\"_blank\">Some DICOM gotchas to be aware of</a></li>\n<li><a href=\"https://www.kaggle.com/jhoward/don-t-see-like-a-radiologist-fastai\" target=\"_blank\">DON'T see like a radiologist</a></li>\n<li><a href=\"https://www.kaggle.com/jhoward/cleaning-the-data-for-rapid-prototyping-fastai\" target=\"_blank\">Cleaning the data for rapid prototyping</a></li>\n<li><a href=\"https://www.kaggle.com/jhoward/from-prototyping-to-submission-fastai\" target=\"_blank\">From prototyping to submission</a></li>\n</ul>\n<p><strong><a href=\"https://www.kaggle.com/c/rsna-intracranial-hemorrhage-detection/discussion/114214\" target=\"_blank\">Read the full discussion here!</a></strong></p>",
  "messages": [
    {
      "id": "1388369",
      "postDate": "07/14/2021 21:45:14",
      "content": "<p>I was looking at a previous RSNA competition and found this really great discussion by Jeremy Howard (the founder of fastai). </p>\n<p>Jeremy created 5 connected notebooks for this competition. Here are the notebooks, in order:</p>\n<ul>\n<li><a href=\"https://www.kaggle.com/jhoward/creating-a-metadata-dataframe-fastai\" target=\"_blank\">Creating a metadata DataFrame</a></li>\n<li><a href=\"https://www.kaggle.com/jhoward/some-dicom-gotchas-to-be-aware-of-fastai\" target=\"_blank\">Some DICOM gotchas to be aware of</a></li>\n<li><a href=\"https://www.kaggle.com/jhoward/don-t-see-like-a-radiologist-fastai\" target=\"_blank\">DON'T see like a radiologist</a></li>\n<li><a href=\"https://www.kaggle.com/jhoward/cleaning-the-data-for-rapid-prototyping-fastai\" target=\"_blank\">Cleaning the data for rapid prototyping</a></li>\n<li><a href=\"https://www.kaggle.com/jhoward/from-prototyping-to-submission-fastai\" target=\"_blank\">From prototyping to submission</a></li>\n</ul>\n<p><strong><a href=\"https://www.kaggle.com/c/rsna-intracranial-hemorrhage-detection/discussion/114214\" target=\"_blank\">Read the full discussion here!</a></strong></p>",
      "rawMarkdown": "I was looking at a previous RSNA competition and found this really great discussion by Jeremy Howard (the founder of fastai). \n\nJeremy created 5 connected notebooks for this competition. Here are the notebooks, in order:\n\n- [Creating a metadata DataFrame](https://www.kaggle.com/jhoward/creating-a-metadata-dataframe-fastai)\n- [Some DICOM gotchas to be aware of](https://www.kaggle.com/jhoward/some-dicom-gotchas-to-be-aware-of-fastai)\n- [DON'T see like a radiologist](https://www.kaggle.com/jhoward/don-t-see-like-a-radiologist-fastai)\n- [Cleaning the data for rapid prototyping](https://www.kaggle.com/jhoward/cleaning-the-data-for-rapid-prototyping-fastai)\n- [From prototyping to submission](https://www.kaggle.com/jhoward/from-prototyping-to-submission-fastai)\n\n**[Read the full discussion here!](https://www.kaggle.com/c/rsna-intracranial-hemorrhage-detection/discussion/114214)**",
      "votes": null
    },
    {
      "id": "1402442",
      "postDate": "07/28/2021 07:46:48",
      "content": "<p>Thanks for sharing <a href=\"https://www.kaggle.com/crained\" target=\"_blank\">@crained</a> , very useful!</p>",
      "rawMarkdown": "Thanks for sharing @crained , very useful!",
      "votes": null
    },
    {
      "id": "1408266",
      "postDate": "08/02/2021 11:53:42",
      "content": "<p>Thanks for sharing</p>",
      "rawMarkdown": "Thanks for sharing",
      "votes": null
    },
    {
      "id": "1446839",
      "postDate": "08/04/2021 13:16:41",
      "content": "<p>This <a href=\"https://docs.fast.ai/tutorial.medical_imaging.html\" target=\"_blank\">medical imaging tutorial</a> on the fastai website is also an excellent guide on dealing with DICOM images. </p>",
      "rawMarkdown": "This [medical imaging tutorial](https://docs.fast.ai/tutorial.medical_imaging.html) on the fastai website is also an excellent guide on dealing with DICOM images.",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 1402442,
      "author_name": "saurabhbagchi",
      "author_url": "",
      "post_date": "07/28/2021 07:46:48",
      "content": "<p>Thanks for sharing <a href=\"https://www.kaggle.com/crained\" target=\"_blank\">@crained</a> , very useful!</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 1408266,
      "author_name": "hawkeat",
      "author_url": "",
      "post_date": "08/02/2021 11:53:42",
      "content": "<p>Thanks for sharing</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 1446839,
      "author_name": "sami116",
      "author_url": "",
      "post_date": "08/04/2021 13:16:41",
      "content": "<p>This <a href=\"https://docs.fast.ai/tutorial.medical_imaging.html\" target=\"_blank\">medical imaging tutorial</a> on the fastai website is also an excellent guide on dealing with DICOM images. </p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "1388369": "I was looking at a previous RSNA competition and found this really great discussion by Jeremy Howard (the founder of fastai). \n\nJeremy created 5 connected notebooks for this competition. Here are the notebooks, in order:\n\n- [Creating a metadata DataFrame](https://www.kaggle.com/jhoward/creating-a-metadata-dataframe-fastai)\n- [Some DICOM gotchas to be aware of](https://www.kaggle.com/jhoward/some-dicom-gotchas-to-be-aware-of-fastai)\n- [DON'T see like a radiologist](https://www.kaggle.com/jhoward/don-t-see-like-a-radiologist-fastai)\n- [Cleaning the data for rapid prototyping](https://www.kaggle.com/jhoward/cleaning-the-data-for-rapid-prototyping-fastai)\n- [From prototyping to submission](https://www.kaggle.com/jhoward/from-prototyping-to-submission-fastai)\n\n**[Read the full discussion here!](https://www.kaggle.com/c/rsna-intracranial-hemorrhage-detection/discussion/114214)**",
    "1402442": "Thanks for sharing @crained , very useful!",
    "1408266": "Thanks for sharing",
    "1446839": "This [medical imaging tutorial](https://docs.fast.ai/tutorial.medical_imaging.html) on the fastai website is also an excellent guide on dealing with DICOM images."
  },
  "source": "meta"
}