{
  "id": 471619,
  "title": "Taking only kidney_1_dense dataset",
  "url": "/competitions/blood-vessel-segmentation/discussion/471619",
  "author_name": "",
  "post_date": "2024-01-28T22:55:42.026755Z",
  "votes": null,
  "comment_count": 2,
  "views": 0,
  "content": "<p>This is just a general question. Why most of the notebooks only considering <code>kidney_1_dense</code> and validation on <code>kidney_3_dense</code>?<br>\nI understand the fact that <code>kidney_2</code> is sparsely segmented as well as <code>kidney_3_sparse</code> and so I think they are not taken in training. Correct me if I am wrong.<br>\nBut what about <code>kidney_1_voi</code>?</p>",
  "messages": [
    {
      "id": "2624709",
      "postDate": "01/28/2024 22:55:42",
      "content": "<p>This is just a general question. Why most of the notebooks only considering <code>kidney_1_dense</code> and validation on <code>kidney_3_dense</code>?<br>\nI understand the fact that <code>kidney_2</code> is sparsely segmented as well as <code>kidney_3_sparse</code> and so I think they are not taken in training. Correct me if I am wrong.<br>\nBut what about <code>kidney_1_voi</code>?</p>",
      "rawMarkdown": "This is just a general question. Why most of the notebooks only considering `kidney_1_dense` and validation on `kidney_3_dense`?\nI understand the fact that `kidney_2` is sparsely segmented as well as `kidney_3_sparse` and so I think they are not taken in training. Correct me if I am wrong.\nBut what about `kidney_1_voi`?",
      "votes": null
    },
    {
      "id": "2624713",
      "postDate": "01/28/2024 23:08:40",
      "content": "<p>It has another resolution of the same donnor kidney_1_dense.<br>\n\"kidney_1_voi - A high-resolution subset of kidney_1, at 5.2um resolution.\" x10</p>",
      "rawMarkdown": "It has another resolution of the same donnor kidney_1_dense.\n\"kidney_1_voi - A high-resolution subset of kidney_1, at 5.2um resolution.\" x10",
      "votes": null
    },
    {
      "id": "2624834",
      "postDate": "01/29/2024 03:05:08",
      "content": "<p>by doing that,  getting a high public score.</p>\n<p>however,  It does not guarantee for private  score if the private data not similar.  </p>",
      "rawMarkdown": "by doing that,  getting a high public score.\n\nhowever,  It does not guarantee for private  score if the private data not similar.",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 2624713,
      "author_name": "sacuscreed",
      "author_url": "",
      "post_date": "01/28/2024 23:08:40",
      "content": "<p>It has another resolution of the same donnor kidney_1_dense.<br>\n\"kidney_1_voi - A high-resolution subset of kidney_1, at 5.2um resolution.\" x10</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 2624834,
      "author_name": "dragonzhang",
      "author_url": "",
      "post_date": "01/29/2024 03:05:08",
      "content": "<p>by doing that,  getting a high public score.</p>\n<p>however,  It does not guarantee for private  score if the private data not similar.  </p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "2624709": "This is just a general question. Why most of the notebooks only considering `kidney_1_dense` and validation on `kidney_3_dense`?\nI understand the fact that `kidney_2` is sparsely segmented as well as `kidney_3_sparse` and so I think they are not taken in training. Correct me if I am wrong.\nBut what about `kidney_1_voi`?",
    "2624713": "It has another resolution of the same donnor kidney_1_dense.\n\"kidney_1_voi - A high-resolution subset of kidney_1, at 5.2um resolution.\" x10",
    "2624834": "by doing that,  getting a high public score.\n\nhowever,  It does not guarantee for private  score if the private data not similar."
  },
  "source": "meta"
}