{
  "id": 50359,
  "title": "new unet paper for instance cell segementation",
  "url": "/competitions/data-science-bowl-2018/discussion/50359",
  "author_name": "",
  "post_date": "2018-02-23T01:32:10.440056600Z",
  "votes": 37,
  "comment_count": 10,
  "views": 0,
  "content": "<p><a href=\"https://arxiv.org/pdf/1802.07465.pdf\">https://arxiv.org/pdf/1802.07465.pdf</a></p>\n\n<p>MULTICLASS WEIGHTED LOSS FOR INSTANCE SEGMENTATION\nOF CLUTTERED CELLS</p>",
  "messages": [
    {
      "id": "286894",
      "postDate": "02/23/2018 01:32:10",
      "content": "<p><a href=\"https://arxiv.org/pdf/1802.07465.pdf\">https://arxiv.org/pdf/1802.07465.pdf</a></p>\n\n<p>MULTICLASS WEIGHTED LOSS FOR INSTANCE SEGMENTATION\nOF CLUTTERED CELLS</p>",
      "rawMarkdown": "https://arxiv.org/pdf/1802.07465.pdf\n\nMULTICLASS WEIGHTED LOSS FOR INSTANCE SEGMENTATION\nOF CLUTTERED CELLS",
      "votes": null
    },
    {
      "id": "287024",
      "postDate": "02/23/2018 09:54:43",
      "content": "<p>Thanks  for sharing.</p>",
      "rawMarkdown": "Thanks  for sharing.",
      "votes": null
    },
    {
      "id": "287076",
      "postDate": "02/23/2018 13:16:00",
      "content": "<p>That's what I was implementing, didn't know it was published :(</p>",
      "rawMarkdown": "That's what I was implementing, didn't know it was published :(",
      "votes": null
    },
    {
      "id": "287774",
      "postDate": "02/25/2018 22:32:11",
      "content": "<p>Thank you</p>",
      "rawMarkdown": "Thank you",
      "votes": null
    },
    {
      "id": "287824",
      "postDate": "02/26/2018 02:36:02",
      "content": "<p>Good find. Will be interesting to see how this method compares with Mask RCNN for nuclei detection. </p>",
      "rawMarkdown": "Good find. Will be interesting to see how this method compares with Mask RCNN for nuclei detection.",
      "votes": null
    },
    {
      "id": "292499",
      "postDate": "03/08/2018 03:30:01",
      "content": "<p>yet another unet paper:</p>\n\n<p>\"A Deep Learning Algorithm for One-step Contour Aware Nuclei Segmentation of Histopathological Images\" -Yuxin Cui\n, Guiying Zhang, Zhonghao Liu, Zheng Xiong, Jianjun Hu</p>\n\n<p><img src=\"https://storage.googleapis.com/kaggle-forum-message-attachments/292499/8711/unet.png\" alt=\"enter image description here\"></p>\n\n<p><a href=\"https://arxiv.org/pdf/1803.02786.pdf\">https://arxiv.org/pdf/1803.02786.pdf</a></p>",
      "rawMarkdown": "yet another unet paper:\n\n\"A Deep Learning Algorithm for One-step Contour Aware Nuclei Segmentation of Histopathological Images\" -Yuxin Cui\n, Guiying Zhang, Zhonghao Liu, Zheng Xiong, Jianjun Hu\n\n   ![enter image description here][1]\n\nhttps://arxiv.org/pdf/1803.02786.pdf\n\n\n  [1]: https://kaggle2.blob.core.windows.net/forum-message-attachments/292499/8711/unet.png",
      "votes": null
    },
    {
      "id": "293752",
      "postDate": "03/10/2018 14:08:48",
      "content": "<p>again, another unet cell segmentation open source</p>\n\n<p><a href=\"https://github.com/neuropoly/axondeepseg\">https://github.com/neuropoly/axondeepseg</a></p>\n\n<p><a href=\"https://www.nature.com/articles/s41598-018-22181-4\">https://www.nature.com/articles/s41598-018-22181-4</a></p>\n\n<p><a href=\"https://neuropoly.github.io/axondeepseg/\">https://neuropoly.github.io/axondeepseg/</a></p>\n\n<p><img src=\"https://github.com/neuropoly/axondeepseg/raw/master/docs/_images/fig0.png\" alt=\"enter image description here\"></p>\n\n<p><img src=\"https://neuropoly.github.io/axondeepseg/_images/fig2.png\" alt=\"enter image description here\"></p>",
      "rawMarkdown": "again, another unet cell segmentation open source\n\nhttps://github.com/neuropoly/axondeepseg\n\nhttps://www.nature.com/articles/s41598-018-22181-4\n\nhttps://neuropoly.github.io/axondeepseg/\n\n\n ![enter image description here][1]\n\n ![enter image description here][2]\n\n\n  [1]: https://github.com/neuropoly/axondeepseg/raw/master/docs/_images/fig0.png\n  [2]: https://neuropoly.github.io/axondeepseg/_images/fig2.png",
      "votes": null
    },
    {
      "id": "296601",
      "postDate": "03/15/2018 14:01:07",
      "content": "<p>yet and yet another unet paper</p>\n\n<p>\"Quantization of Fully Convolutional Networks for Accurate Biomedical Image Segmentation\"\nXiaowei Xu, Qing Lu,Yu Hu,Lin Yang,Sharon Hu,Danny Chen, Yiyu Shi</p>\n\n<p><img src=\"https://storage.googleapis.com/kaggle-forum-message-attachments/296603/8770/stack.png\" alt=\"enter image description here\"></p>\n\n<p><a href=\"https://arxiv.org/pdf/1803.04907.pdf\">https://arxiv.org/pdf/1803.04907.pdf</a></p>",
      "rawMarkdown": "yet and yet another unet paper\n\n\"Quantization of Fully Convolutional Networks for Accurate Biomedical Image Segmentation\"\nXiaowei Xu, Qing Lu,Yu Hu,Lin Yang,Sharon Hu,Danny Chen, Yiyu Shi\n\n  ![enter image description here][1]\n\nhttps://arxiv.org/pdf/1803.04907.pdf\n\n \n\n\n  [1]: https://kaggle2.blob.core.windows.net/forum-message-attachments/296603/8770/stack.png",
      "votes": null
    },
    {
      "id": "296603",
      "postDate": "03/15/2018 14:07:09",
      "content": "<p>interesting idea: stacking unet  (meaning the mask head of mask rcnn can also be stacked)</p>\n\n<p>\"Automatic Pixelwise Object Labeling for Aerial Imagery Using Stacked U-Nets\" -Andrew Khalel, Motaz El-Saban</p>\n\n<p><a href=\"https://arxiv.org/pdf/1803.04953.pdf\">https://arxiv.org/pdf/1803.04953.pdf</a></p>",
      "rawMarkdown": "interesting idea: stacking unet  (meaning the mask head of mask rcnn can also be stacked)\n\n\"Automatic Pixelwise Object Labeling for Aerial Imagery Using Stacked U-Nets\" -Andrew Khalel, Motaz El-Saban\n\n\nhttps://arxiv.org/pdf/1803.04953.pdf",
      "votes": null
    },
    {
      "id": "296861",
      "postDate": "03/15/2018 21:31:58",
      "content": "<p>I'm in the process of implementing a similar approach. Thanks for sharing.</p>",
      "rawMarkdown": "I'm in the process of implementing a similar approach. Thanks for sharing.",
      "votes": null
    },
    {
      "id": "456275",
      "postDate": "01/15/2019 13:11:23",
      "content": "<p>are you mean mask rcnn head use a unet? </p>",
      "rawMarkdown": "are you mean mask rcnn head use a unet?",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 287024,
      "author_name": "sheriytm",
      "author_url": "",
      "post_date": "02/23/2018 09:54:43",
      "content": "<p>Thanks  for sharing.</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 287076,
      "author_name": "cpmpml",
      "author_url": "",
      "post_date": "02/23/2018 13:16:00",
      "content": "<p>That's what I was implementing, didn't know it was published :(</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 287774,
      "author_name": "keremt",
      "author_url": "",
      "post_date": "02/25/2018 22:32:11",
      "content": "<p>Thank you</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 287824,
      "author_name": "jackvial",
      "author_url": "",
      "post_date": "02/26/2018 02:36:02",
      "content": "<p>Good find. Will be interesting to see how this method compares with Mask RCNN for nuclei detection. </p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 292499,
      "author_name": "hengck23",
      "author_url": "",
      "post_date": "03/08/2018 03:30:01",
      "content": "<p>yet another unet paper:</p>\n\n<p>\"A Deep Learning Algorithm for One-step Contour Aware Nuclei Segmentation of Histopathological Images\" -Yuxin Cui\n, Guiying Zhang, Zhonghao Liu, Zheng Xiong, Jianjun Hu</p>\n\n<p><img src=\"https://storage.googleapis.com/kaggle-forum-message-attachments/292499/8711/unet.png\" alt=\"enter image description here\"></p>\n\n<p><a href=\"https://arxiv.org/pdf/1803.02786.pdf\">https://arxiv.org/pdf/1803.02786.pdf</a></p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 293752,
      "author_name": "hengck23",
      "author_url": "",
      "post_date": "03/10/2018 14:08:48",
      "content": "<p>again, another unet cell segmentation open source</p>\n\n<p><a href=\"https://github.com/neuropoly/axondeepseg\">https://github.com/neuropoly/axondeepseg</a></p>\n\n<p><a href=\"https://www.nature.com/articles/s41598-018-22181-4\">https://www.nature.com/articles/s41598-018-22181-4</a></p>\n\n<p><a href=\"https://neuropoly.github.io/axondeepseg/\">https://neuropoly.github.io/axondeepseg/</a></p>\n\n<p><img src=\"https://github.com/neuropoly/axondeepseg/raw/master/docs/_images/fig0.png\" alt=\"enter image description here\"></p>\n\n<p><img src=\"https://neuropoly.github.io/axondeepseg/_images/fig2.png\" alt=\"enter image description here\"></p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 296601,
      "author_name": "hengck23",
      "author_url": "",
      "post_date": "03/15/2018 14:01:07",
      "content": "<p>yet and yet another unet paper</p>\n\n<p>\"Quantization of Fully Convolutional Networks for Accurate Biomedical Image Segmentation\"\nXiaowei Xu, Qing Lu,Yu Hu,Lin Yang,Sharon Hu,Danny Chen, Yiyu Shi</p>\n\n<p><img src=\"https://storage.googleapis.com/kaggle-forum-message-attachments/296603/8770/stack.png\" alt=\"enter image description here\"></p>\n\n<p><a href=\"https://arxiv.org/pdf/1803.04907.pdf\">https://arxiv.org/pdf/1803.04907.pdf</a></p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 296603,
      "author_name": "hengck23",
      "author_url": "",
      "post_date": "03/15/2018 14:07:09",
      "content": "<p>interesting idea: stacking unet  (meaning the mask head of mask rcnn can also be stacked)</p>\n\n<p>\"Automatic Pixelwise Object Labeling for Aerial Imagery Using Stacked U-Nets\" -Andrew Khalel, Motaz El-Saban</p>\n\n<p><a href=\"https://arxiv.org/pdf/1803.04953.pdf\">https://arxiv.org/pdf/1803.04953.pdf</a></p>",
      "votes": null,
      "replies": [
        {
          "id": 296861,
          "author_name": "tichyijon",
          "author_url": "",
          "post_date": "03/15/2018 21:31:58",
          "content": "<p>I'm in the process of implementing a similar approach. Thanks for sharing.</p>",
          "votes": null,
          "replies": []
        },
        {
          "id": 456275,
          "author_name": "jyning12",
          "author_url": "",
          "post_date": "01/15/2019 13:11:23",
          "content": "<p>are you mean mask rcnn head use a unet? </p>",
          "votes": null,
          "replies": []
        }
      ]
    }
  ],
  "raw_markdown_by_id": {
    "286894": "https://arxiv.org/pdf/1802.07465.pdf\n\nMULTICLASS WEIGHTED LOSS FOR INSTANCE SEGMENTATION\nOF CLUTTERED CELLS",
    "287024": "Thanks  for sharing.",
    "287076": "That's what I was implementing, didn't know it was published :(",
    "287774": "Thank you",
    "287824": "Good find. Will be interesting to see how this method compares with Mask RCNN for nuclei detection.",
    "292499": "yet another unet paper:\n\n\"A Deep Learning Algorithm for One-step Contour Aware Nuclei Segmentation of Histopathological Images\" -Yuxin Cui\n, Guiying Zhang, Zhonghao Liu, Zheng Xiong, Jianjun Hu\n\n   ![enter image description here][1]\n\nhttps://arxiv.org/pdf/1803.02786.pdf\n\n\n  [1]: https://kaggle2.blob.core.windows.net/forum-message-attachments/292499/8711/unet.png",
    "293752": "again, another unet cell segmentation open source\n\nhttps://github.com/neuropoly/axondeepseg\n\nhttps://www.nature.com/articles/s41598-018-22181-4\n\nhttps://neuropoly.github.io/axondeepseg/\n\n\n ![enter image description here][1]\n\n ![enter image description here][2]\n\n\n  [1]: https://github.com/neuropoly/axondeepseg/raw/master/docs/_images/fig0.png\n  [2]: https://neuropoly.github.io/axondeepseg/_images/fig2.png",
    "296601": "yet and yet another unet paper\n\n\"Quantization of Fully Convolutional Networks for Accurate Biomedical Image Segmentation\"\nXiaowei Xu, Qing Lu,Yu Hu,Lin Yang,Sharon Hu,Danny Chen, Yiyu Shi\n\n  ![enter image description here][1]\n\nhttps://arxiv.org/pdf/1803.04907.pdf\n\n \n\n\n  [1]: https://kaggle2.blob.core.windows.net/forum-message-attachments/296603/8770/stack.png",
    "296603": "interesting idea: stacking unet  (meaning the mask head of mask rcnn can also be stacked)\n\n\"Automatic Pixelwise Object Labeling for Aerial Imagery Using Stacked U-Nets\" -Andrew Khalel, Motaz El-Saban\n\n\nhttps://arxiv.org/pdf/1803.04953.pdf",
    "296861": "I'm in the process of implementing a similar approach. Thanks for sharing.",
    "456275": "are you mean mask rcnn head use a unet?"
  },
  "source": "meta"
}