{
  "id": 51794,
  "title": "New cell segmentation paper using Adversarial Neural Networks",
  "url": "/competitions/data-science-bowl-2018/discussion/51794",
  "author_name": "Mehul Sampat",
  "post_date": "2018-03-13T05:23:33.691000",
  "votes": 3,
  "comment_count": 0,
  "views": 0,
  "content": "<p>Hi All! \nI came across this new cell segmentation paper which uses Adversarial Neural Networks:\n<a href=\"https://arxiv.org/pdf/1709.05860v2.pdf\">https://arxiv.org/pdf/1709.05860v2.pdf</a> \nI think this is first paper I saw that uses Adversarial Networks for cell segmentation ? (if you found other please post it in this topic). \nLastly,  the  architecture of the discriminator block is very interesting (Fig 1). \nMehul</p>",
  "messages": [
    {
      "id": 295132,
      "postDate": "2018-03-13T05:23:33.690Z",
      "content": "<p>Hi All! \nI came across this new cell segmentation paper which uses Adversarial Neural Networks:\n<a href=\"https://arxiv.org/pdf/1709.05860v2.pdf\">https://arxiv.org/pdf/1709.05860v2.pdf</a> \nI think this is first paper I saw that uses Adversarial Networks for cell segmentation ? (if you found other please post it in this topic). \nLastly,  the  architecture of the discriminator block is very interesting (Fig 1). \nMehul</p>",
      "rawMarkdown": "Hi All! \nI came across this new cell segmentation paper which uses Adversarial Neural Networks:\nhttps://arxiv.org/pdf/1709.05860v2.pdf \nI think this is first paper I saw that uses Adversarial Networks for cell segmentation ? (if you found other please post it in this topic). \nLastly,  the  architecture of the discriminator block is very interesting (Fig 1). \nMehul\n",
      "votes": 3
    }
  ],
  "comments": [],
  "raw_markdown_by_id": {
    "295132": "Hi All! \nI came across this new cell segmentation paper which uses Adversarial Neural Networks:\nhttps://arxiv.org/pdf/1709.05860v2.pdf \nI think this is first paper I saw that uses Adversarial Networks for cell segmentation ? (if you found other please post it in this topic). \nLastly,  the  architecture of the discriminator block is very interesting (Fig 1). \nMehul\n"
  }
}