{
  "id": 181861,
  "title": "Research Work on PE Detection",
  "url": "/competitions/rsna-str-pulmonary-embolism-detection/discussion/181861",
  "author_name": "Innat",
  "post_date": "2020-09-10T12:40:34.427000",
  "votes": 13,
  "comment_count": 0,
  "views": 0,
  "content": "<ul>\n<li><p><a href=\"https://jdunnmon.github.io/penet-final.pdf\" target=\"_blank\">PENet—a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging - Nature</a> - <a href=\"https://github.com/marshuang80/PENet\" target=\"_blank\">Code</a> </p></li>\n<li><p><a href=\"https://openreview.net/forum?id=hsGCHJDRm2\" target=\"_blank\">Automatic Diagnosis of Pulmonary Embolism Using an Attention-guided Framework: A Large-scale Study</a></p></li>\n<li><p><a href=\"https://pubs.rsna.org/doi/10.1148/radiol.2017172728\" target=\"_blank\">Deep Learning of Radiology Reports for Pulmonary Embolus: Is a Computer Reading My Report?</a></p></li>\n</ul>",
  "messages": [
    {
      "id": 1005349,
      "postDate": "2020-09-10T12:40:34.427Z",
      "content": "<ul>\n<li><p><a href=\"https://jdunnmon.github.io/penet-final.pdf\" target=\"_blank\">PENet—a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging - Nature</a> - <a href=\"https://github.com/marshuang80/PENet\" target=\"_blank\">Code</a> </p></li>\n<li><p><a href=\"https://openreview.net/forum?id=hsGCHJDRm2\" target=\"_blank\">Automatic Diagnosis of Pulmonary Embolism Using an Attention-guided Framework: A Large-scale Study</a></p></li>\n<li><p><a href=\"https://pubs.rsna.org/doi/10.1148/radiol.2017172728\" target=\"_blank\">Deep Learning of Radiology Reports for Pulmonary Embolus: Is a Computer Reading My Report?</a></p></li>\n</ul>",
      "rawMarkdown": "- [PENet—a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging - Nature](https://jdunnmon.github.io/penet-final.pdf) - [Code](https://github.com/marshuang80/PENet) \n\n- [Automatic Diagnosis of Pulmonary Embolism Using an Attention-guided Framework: A Large-scale Study](https://openreview.net/forum?id=hsGCHJDRm2)\n\n- [Deep Learning of Radiology Reports for Pulmonary Embolus: Is a Computer Reading My Report?](https://pubs.rsna.org/doi/10.1148/radiol.2017172728)",
      "votes": 13
    }
  ],
  "comments": [],
  "raw_markdown_by_id": {
    "1005349": "- [PENet—a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging - Nature](https://jdunnmon.github.io/penet-final.pdf) - [Code](https://github.com/marshuang80/PENet) \n\n- [Automatic Diagnosis of Pulmonary Embolism Using an Attention-guided Framework: A Large-scale Study](https://openreview.net/forum?id=hsGCHJDRm2)\n\n- [Deep Learning of Radiology Reports for Pulmonary Embolus: Is a Computer Reading My Report?](https://pubs.rsna.org/doi/10.1148/radiol.2017172728)"
  }
}