{
  "id": 49610,
  "title": "Not sure how to work on this type of data!",
  "url": "/competitions/data-science-bowl-2018/discussion/49610",
  "author_name": "",
  "post_date": "2018-02-13T13:16:43.146400100Z",
  "votes": null,
  "comment_count": 4,
  "views": 0,
  "content": "<p>Hello guys, I'm new here and wanna participate in this competition, but I don't know how to work on this type of dataset. Do we only need to classify the nucleus?\nPlease help me get out of this!</p>",
  "messages": [
    {
      "id": "282005",
      "postDate": "02/13/2018 13:16:43",
      "content": "<p>Hello guys, I'm new here and wanna participate in this competition, but I don't know how to work on this type of dataset. Do we only need to classify the nucleus?\nPlease help me get out of this!</p>",
      "rawMarkdown": "Hello guys, I'm new here and wanna participate in this competition, but I don't know how to work on this type of dataset. Do we only need to classify the nucleus?\nPlease help me get out of this!",
      "votes": null
    },
    {
      "id": "282726",
      "postDate": "02/14/2018 13:19:31",
      "content": "<p>hi Ritesh, just have a look at some of the example kernels; you can even start with those simple where it's done for example with Otsu's thresholding etc.\nBtw. this is not classification task - it's an instance segmentation, i.e. you need to identify each single nucleus and assign a mask to it</p>",
      "rawMarkdown": "hi Ritesh, just have a look at some of the example kernels; you can even start with those simple where it's done for example with Otsu's thresholding etc.\nBtw. this is not classification task - it's an instance segmentation, i.e. you need to identify each single nucleus and assign a mask to it",
      "votes": null
    },
    {
      "id": "282728",
      "postDate": "02/14/2018 13:25:57",
      "content": "<p>Thanks for your reply @steelrose, will you please elaborate what we need to do?</p>",
      "rawMarkdown": "Thanks for your reply @steelrose, will you please elaborate what we need to do?",
      "votes": null
    },
    {
      "id": "282730",
      "postDate": "02/14/2018 13:31:51",
      "content": "<p>please read through some of the kernels, everything should be clear after that (the 3 currently highest voted are a very good starting point)</p>",
      "rawMarkdown": "please read through some of the kernels, everything should be clear after that (the 3 currently highest voted are a very good starting point)",
      "votes": null
    },
    {
      "id": "282994",
      "postDate": "02/14/2018 20:47:12",
      "content": "<p>Hi, Ritesh. You should read <a href=\"http://scikit-image.org/docs/dev/auto_examples/segmentation/plot_watershed.html#sphx-glr-auto-examples-segmentation-plot-watershed-py\">this</a> tutorial.</p>\n\n<p>I think it nicely illustrates this problem. You should even try that code on the test images and make a submission!</p>",
      "rawMarkdown": "Hi, Ritesh. You should read [this][1] tutorial.\n\nI think it nicely illustrates this problem. You should even try that code on the test images and make a submission!\n\n  [1]: http://scikit-image.org/docs/dev/auto_examples/segmentation/plot_watershed.html#sphx-glr-auto-examples-segmentation-plot-watershed-py",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 282726,
      "author_name": "steelrose",
      "author_url": "",
      "post_date": "02/14/2018 13:19:31",
      "content": "<p>hi Ritesh, just have a look at some of the example kernels; you can even start with those simple where it's done for example with Otsu's thresholding etc.\nBtw. this is not classification task - it's an instance segmentation, i.e. you need to identify each single nucleus and assign a mask to it</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 282728,
      "author_name": "mauryaritesh",
      "author_url": "",
      "post_date": "02/14/2018 13:25:57",
      "content": "<p>Thanks for your reply @steelrose, will you please elaborate what we need to do?</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 282730,
      "author_name": "steelrose",
      "author_url": "",
      "post_date": "02/14/2018 13:31:51",
      "content": "<p>please read through some of the kernels, everything should be clear after that (the 3 currently highest voted are a very good starting point)</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 282994,
      "author_name": "agoodman",
      "author_url": "",
      "post_date": "02/14/2018 20:47:12",
      "content": "<p>Hi, Ritesh. You should read <a href=\"http://scikit-image.org/docs/dev/auto_examples/segmentation/plot_watershed.html#sphx-glr-auto-examples-segmentation-plot-watershed-py\">this</a> tutorial.</p>\n\n<p>I think it nicely illustrates this problem. You should even try that code on the test images and make a submission!</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "282005": "Hello guys, I'm new here and wanna participate in this competition, but I don't know how to work on this type of dataset. Do we only need to classify the nucleus?\nPlease help me get out of this!",
    "282726": "hi Ritesh, just have a look at some of the example kernels; you can even start with those simple where it's done for example with Otsu's thresholding etc.\nBtw. this is not classification task - it's an instance segmentation, i.e. you need to identify each single nucleus and assign a mask to it",
    "282728": "Thanks for your reply @steelrose, will you please elaborate what we need to do?",
    "282730": "please read through some of the kernels, everything should be clear after that (the 3 currently highest voted are a very good starting point)",
    "282994": "Hi, Ritesh. You should read [this][1] tutorial.\n\nI think it nicely illustrates this problem. You should even try that code on the test images and make a submission!\n\n  [1]: http://scikit-image.org/docs/dev/auto_examples/segmentation/plot_watershed.html#sphx-glr-auto-examples-segmentation-plot-watershed-py"
  },
  "source": "meta"
}