{
  "id": 448903,
  "title": "1st Place Code + Full Solution Released ",
  "url": "/competitions/rsna-2023-abdominal-trauma-detection/discussion/448903",
  "author_name": "Nischay Dhankhar",
  "post_date": "2023-10-22T05:46:42.077000",
  "votes": 22,
  "comment_count": 0,
  "views": 0,
  "content": "<p>Hey everyone, we are finished with our writeup and adding training code on Github. Now, everyone should be able to reproduce our best submission solution. I have also updated my solution summary thread with more content. </p>\n<p><strong>Full solution writeup:</strong> <a href=\"https://www.kaggle.com/competitions/rsna-2023-abdominal-trauma-detection/discussion/447449\" target=\"_blank\">https://www.kaggle.com/competitions/rsna-2023-abdominal-trauma-detection/discussion/447449</a><br>\n<strong>GitHub repo consisting of all preprocessing + training code:</strong> <a href=\"https://github.com/Nischaydnk/RSNA-2023-1st-place-solution\" target=\"_blank\">https://github.com/Nischaydnk/RSNA-2023-1st-place-solution</a><br>\n<strong>Submission code w/ all public datasets:</strong> <a href=\"https://www.kaggle.com/nischaydnk/rsna-super-mega-lb-ensemble\" target=\"_blank\">https://www.kaggle.com/nischaydnk/rsna-super-mega-lb-ensemble</a><br>\n<strong>Demo notebook:</strong> <a href=\"https://www.kaggle.com/code/haqishen/rsna-2023-1st-place-best-model-infer-cleaned\" target=\"_blank\">https://www.kaggle.com/code/haqishen/rsna-2023-1st-place-best-model-infer-cleaned</a></p>\n<p>Thank you.</p>",
  "messages": [
    {
      "id": 2491883,
      "postDate": "2023-10-22T05:46:42.077Z",
      "content": "<p>Hey everyone, we are finished with our writeup and adding training code on Github. Now, everyone should be able to reproduce our best submission solution. I have also updated my solution summary thread with more content. </p>\n<p><strong>Full solution writeup:</strong> <a href=\"https://www.kaggle.com/competitions/rsna-2023-abdominal-trauma-detection/discussion/447449\" target=\"_blank\">https://www.kaggle.com/competitions/rsna-2023-abdominal-trauma-detection/discussion/447449</a><br>\n<strong>GitHub repo consisting of all preprocessing + training code:</strong> <a href=\"https://github.com/Nischaydnk/RSNA-2023-1st-place-solution\" target=\"_blank\">https://github.com/Nischaydnk/RSNA-2023-1st-place-solution</a><br>\n<strong>Submission code w/ all public datasets:</strong> <a href=\"https://www.kaggle.com/nischaydnk/rsna-super-mega-lb-ensemble\" target=\"_blank\">https://www.kaggle.com/nischaydnk/rsna-super-mega-lb-ensemble</a><br>\n<strong>Demo notebook:</strong> <a href=\"https://www.kaggle.com/code/haqishen/rsna-2023-1st-place-best-model-infer-cleaned\" target=\"_blank\">https://www.kaggle.com/code/haqishen/rsna-2023-1st-place-best-model-infer-cleaned</a></p>\n<p>Thank you.</p>",
      "rawMarkdown": "Hey everyone, we are finished with our writeup and adding training code on Github. Now, everyone should be able to reproduce our best submission solution. I have also updated my solution summary thread with more content. \n\n**Full solution writeup:** https://www.kaggle.com/competitions/rsna-2023-abdominal-trauma-detection/discussion/447449\n**GitHub repo consisting of all preprocessing + training code:** https://github.com/Nischaydnk/RSNA-2023-1st-place-solution\n**Submission code w/ all public datasets:** https://www.kaggle.com/nischaydnk/rsna-super-mega-lb-ensemble\n**Demo notebook:** https://www.kaggle.com/code/haqishen/rsna-2023-1st-place-best-model-infer-cleaned\n\nThank you.",
      "votes": 22
    }
  ],
  "comments": [],
  "raw_markdown_by_id": {
    "2491883": "Hey everyone, we are finished with our writeup and adding training code on Github. Now, everyone should be able to reproduce our best submission solution. I have also updated my solution summary thread with more content. \n\n**Full solution writeup:** https://www.kaggle.com/competitions/rsna-2023-abdominal-trauma-detection/discussion/447449\n**GitHub repo consisting of all preprocessing + training code:** https://github.com/Nischaydnk/RSNA-2023-1st-place-solution\n**Submission code w/ all public datasets:** https://www.kaggle.com/nischaydnk/rsna-super-mega-lb-ensemble\n**Demo notebook:** https://www.kaggle.com/code/haqishen/rsna-2023-1st-place-best-model-infer-cleaned\n\nThank you."
  }
}