{
  "id": 145131,
  "title": "SOTA for PCa Detection and Classification",
  "url": "/competitions/prostate-cancer-grade-assessment/discussion/145131",
  "author_name": "Nanashi",
  "post_date": "2020-04-22T00:44:01.922000",
  "votes": 22,
  "comment_count": 3,
  "views": 0,
  "content": "<h3>State of the art for Prostate Cancer Detection and Classification using DL</h3>\n\n<ul>\n<li><strong><a href=\"https://www.nature.com/articles/s41746-019-0112-2\">Development and validation of a deep learning algorithm for improving Gleason scoring of prostate cancer</a></strong></li>\n</ul>\n\n<p>![](<a href=\"https://media.springernature.com/lw685/springer-static/image/art%3A10.1038%2Fs41746-019-0112-2/MediaObjects/41746_2019_112_Fig1_HTML.png?as=webp\">https://media.springernature.com/lw685/springer-static/image/art%3A10.1038%2Fs41746-019-0112-2/MediaObjects/41746_2019_112_Fig1_HTML.png?as=webp</a> =500x*)</p>\n\n<ul>\n<li><p><strong><a href=\"https://arxiv.org/ftp/arxiv/papers/1907/1907.01368.pdf\">Pathologist-Level Grading of Prostate Biopsies with Artificial Intelligence</a></strong></p></li>\n<li><p><strong><a href=\"https://ai.googleblog.com/2018/11/improved-grading-of-prostate-cancer.html\">Improved Grading of Prostate Cancer Using Deep Learning</a></strong></p></li>\n<li><p><strong><a href=\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6089889/\">Automated Gleason grading of prostate cancer tissue microarrays via deep learning</a></strong></p></li>\n</ul>\n\n<p>![](<a href=\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6089889/bin/41598_2018_30535_Fig1_HTML.jpg\">https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6089889/bin/41598_2018_30535_Fig1_HTML.jpg</a> =500x*)</p>\n\n<ul>\n<li><strong><a href=\"https://link.springer.com/article/10.1007/s00428-019-02577-x\">Deep learning for automatic Gleason pattern classification for grade group determination of prostate biopsies</a></strong></li>\n</ul>\n\n<p><img src=\"https://media.springernature.com/lw685/springer-static/image/art%3A10.1007%2Fs00428-019-02577-x/MediaObjects/428_2019_2577_Fig2_HTML.jpg?as=webp\" alt=\"\"></p>\n\n<p><br>\n<strong>.... More will be added :)</strong></p>",
  "messages": [
    {
      "id": 815939,
      "postDate": "2020-04-22T00:44:01.923Z",
      "content": "<h3>State of the art for Prostate Cancer Detection and Classification using DL</h3>\n\n<ul>\n<li><strong><a href=\"https://www.nature.com/articles/s41746-019-0112-2\">Development and validation of a deep learning algorithm for improving Gleason scoring of prostate cancer</a></strong></li>\n</ul>\n\n<p>![](<a href=\"https://media.springernature.com/lw685/springer-static/image/art%3A10.1038%2Fs41746-019-0112-2/MediaObjects/41746_2019_112_Fig1_HTML.png?as=webp\">https://media.springernature.com/lw685/springer-static/image/art%3A10.1038%2Fs41746-019-0112-2/MediaObjects/41746_2019_112_Fig1_HTML.png?as=webp</a> =500x*)</p>\n\n<ul>\n<li><p><strong><a href=\"https://arxiv.org/ftp/arxiv/papers/1907/1907.01368.pdf\">Pathologist-Level Grading of Prostate Biopsies with Artificial Intelligence</a></strong></p></li>\n<li><p><strong><a href=\"https://ai.googleblog.com/2018/11/improved-grading-of-prostate-cancer.html\">Improved Grading of Prostate Cancer Using Deep Learning</a></strong></p></li>\n<li><p><strong><a href=\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6089889/\">Automated Gleason grading of prostate cancer tissue microarrays via deep learning</a></strong></p></li>\n</ul>\n\n<p>![](<a href=\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6089889/bin/41598_2018_30535_Fig1_HTML.jpg\">https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6089889/bin/41598_2018_30535_Fig1_HTML.jpg</a> =500x*)</p>\n\n<ul>\n<li><strong><a href=\"https://link.springer.com/article/10.1007/s00428-019-02577-x\">Deep learning for automatic Gleason pattern classification for grade group determination of prostate biopsies</a></strong></li>\n</ul>\n\n<p><img src=\"https://media.springernature.com/lw685/springer-static/image/art%3A10.1007%2Fs00428-019-02577-x/MediaObjects/428_2019_2577_Fig2_HTML.jpg?as=webp\" alt=\"\"></p>\n\n<p><br>\n<strong>.... More will be added :)</strong></p>",
      "rawMarkdown": "### State of the art for Prostate Cancer Detection and Classification using DL\n\n- **[Development and validation of a deep learning algorithm for improving Gleason scoring of prostate cancer](https://www.nature.com/articles/s41746-019-0112-2)**\n\n![](https://media.springernature.com/lw685/springer-static/image/art%3A10.1038%2Fs41746-019-0112-2/MediaObjects/41746_2019_112_Fig1_HTML.png?as=webp =500x*)\n\n- **[Pathologist-Level Grading of Prostate Biopsies with Artificial Intelligence](https://arxiv.org/ftp/arxiv/papers/1907/1907.01368.pdf)**\n\n- **[Improved Grading of Prostate Cancer Using Deep Learning](https://ai.googleblog.com/2018/11/improved-grading-of-prostate-cancer.html)**\n\n- **[Automated Gleason grading of prostate cancer tissue microarrays via deep learning](https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6089889/)**\n\n![](https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6089889/bin/41598_2018_30535_Fig1_HTML.jpg =500x*)\n\n- **[Deep learning for automatic Gleason pattern classification for grade group determination of prostate biopsies](https://link.springer.com/article/10.1007/s00428-019-02577-x)**\n\n![](https://media.springernature.com/lw685/springer-static/image/art%3A10.1007%2Fs00428-019-02577-x/MediaObjects/428_2019_2577_Fig2_HTML.jpg?as=webp)\n\n\n<br>\n**.... More will be added :)**",
      "votes": 22
    },
    {
      "id": 816082,
      "postDate": "2020-04-22T05:15:28.013Z",
      "content": "<p>Hello, <a href=\"/jesucristo\">@jesucristo</a> thanks for sharing. I was trying to gather some promising paperwork but let's add here :). However, here is an another one: \n<a href=\"https://www.nature.com/articles/s41598-019-55972-4.pdf\">https://www.nature.com/articles/s41598-019-55972-4.pdf</a></p>",
      "rawMarkdown": "Hello, @jesucristo thanks for sharing. I was trying to gather some promising paperwork but let's add here :). However, here is an another one: \nhttps://www.nature.com/articles/s41598-019-55972-4.pdf",
      "votes": 2,
      "replies": [
        {
          "id": 816084,
          "postDate": "2020-04-22T05:16:19.447Z",
          "content": "<p>another: <a href=\"https://link.springer.com/article/10.1007/s11571-020-09587-5\">https://link.springer.com/article/10.1007/s11571-020-09587-5</a></p>",
          "rawMarkdown": "another: https://link.springer.com/article/10.1007/s11571-020-09587-5"
        }
      ]
    },
    {
      "id": 817119,
      "postDate": "2020-04-22T21:11:41.307Z",
      "content": "<p><a href=\"/jesucristo\">@jesucristo</a> Thanks for sharing. Really Helpful.\nUpvoted.</p>",
      "rawMarkdown": "@jesucristo Thanks for sharing. Really Helpful.\nUpvoted."
    }
  ],
  "comments": [
    {
      "id": 816082,
      "author_name": "Innat",
      "author_url": "",
      "post_date": "2020-04-22T05:15:28.013000",
      "content": "<p>Hello, <a href=\"/jesucristo\">@jesucristo</a> thanks for sharing. I was trying to gather some promising paperwork but let's add here :). However, here is an another one: \n<a href=\"https://www.nature.com/articles/s41598-019-55972-4.pdf\">https://www.nature.com/articles/s41598-019-55972-4.pdf</a></p>",
      "votes": 2,
      "replies": [
        {
          "id": 816084,
          "author_name": "Innat",
          "author_url": "",
          "post_date": "2020-04-22T05:16:19.447000",
          "content": "<p>another: <a href=\"https://link.springer.com/article/10.1007/s11571-020-09587-5\">https://link.springer.com/article/10.1007/s11571-020-09587-5</a></p>",
          "votes": 0,
          "replies": []
        }
      ]
    },
    {
      "id": 817119,
      "author_name": "Dhruv Aggarwal",
      "author_url": "",
      "post_date": "2020-04-22T21:11:41.307000",
      "content": "<p><a href=\"/jesucristo\">@jesucristo</a> Thanks for sharing. Really Helpful.\nUpvoted.</p>",
      "votes": 0,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "815939": "### State of the art for Prostate Cancer Detection and Classification using DL\n\n- **[Development and validation of a deep learning algorithm for improving Gleason scoring of prostate cancer](https://www.nature.com/articles/s41746-019-0112-2)**\n\n![](https://media.springernature.com/lw685/springer-static/image/art%3A10.1038%2Fs41746-019-0112-2/MediaObjects/41746_2019_112_Fig1_HTML.png?as=webp =500x*)\n\n- **[Pathologist-Level Grading of Prostate Biopsies with Artificial Intelligence](https://arxiv.org/ftp/arxiv/papers/1907/1907.01368.pdf)**\n\n- **[Improved Grading of Prostate Cancer Using Deep Learning](https://ai.googleblog.com/2018/11/improved-grading-of-prostate-cancer.html)**\n\n- **[Automated Gleason grading of prostate cancer tissue microarrays via deep learning](https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6089889/)**\n\n![](https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6089889/bin/41598_2018_30535_Fig1_HTML.jpg =500x*)\n\n- **[Deep learning for automatic Gleason pattern classification for grade group determination of prostate biopsies](https://link.springer.com/article/10.1007/s00428-019-02577-x)**\n\n![](https://media.springernature.com/lw685/springer-static/image/art%3A10.1007%2Fs00428-019-02577-x/MediaObjects/428_2019_2577_Fig2_HTML.jpg?as=webp)\n\n\n<br>\n**.... More will be added :)**",
    "816082": "Hello, @jesucristo thanks for sharing. I was trying to gather some promising paperwork but let's add here :). However, here is an another one: \nhttps://www.nature.com/articles/s41598-019-55972-4.pdf",
    "817119": "@jesucristo Thanks for sharing. Really Helpful.\nUpvoted."
  }
}