{
  "id": 229639,
  "title": "DICOM annotation tool is now open-source",
  "url": "/competitions/vinbigdata-chest-xray-abnormalities-detection/discussion/229639",
  "author_name": "Ha Q. Nguyen",
  "post_date": "2021-03-31T04:04:28.875000",
  "votes": 17,
  "comment_count": 0,
  "views": 0,
  "content": "<p>Congratulations to the winning teams! Thank you for joining us in this wonderful journey.</p>\n<p>In the mean time, we've decided to make the source code of our DICOM annotation tool, VinDr Lab, publicly available at <a href=\"https://github.com/vinbigdata-medical/vindr-lab/\" target=\"_blank\">https://github.com/vinbigdata-medical/vindr-lab/</a>. This is the software that we've used to build the dataset for this competition. </p>\n<p>I hope many people here would find it helpful and contribute to the project.</p>\n<p>-Ha </p>",
  "messages": [
    {
      "id": 1257725,
      "postDate": "2021-03-31T04:04:28.877Z",
      "content": "<p>Congratulations to the winning teams! Thank you for joining us in this wonderful journey.</p>\n<p>In the mean time, we've decided to make the source code of our DICOM annotation tool, VinDr Lab, publicly available at <a href=\"https://github.com/vinbigdata-medical/vindr-lab/\" target=\"_blank\">https://github.com/vinbigdata-medical/vindr-lab/</a>. This is the software that we've used to build the dataset for this competition. </p>\n<p>I hope many people here would find it helpful and contribute to the project.</p>\n<p>-Ha </p>",
      "rawMarkdown": "Congratulations to the winning teams! Thank you for joining us in this wonderful journey.\n\nIn the mean time, we've decided to make the source code of our DICOM annotation tool, VinDr Lab, publicly available at https://github.com/vinbigdata-medical/vindr-lab/. This is the software that we've used to build the dataset for this competition. \n\nI hope many people here would find it helpful and contribute to the project.\n\n-Ha ",
      "votes": 17
    }
  ],
  "comments": [],
  "raw_markdown_by_id": {
    "1257725": "Congratulations to the winning teams! Thank you for joining us in this wonderful journey.\n\nIn the mean time, we've decided to make the source code of our DICOM annotation tool, VinDr Lab, publicly available at https://github.com/vinbigdata-medical/vindr-lab/. This is the software that we've used to build the dataset for this competition. \n\nI hope many people here would find it helpful and contribute to the project.\n\n-Ha "
  }
}