{
  "id": 457179,
  "title": "Waht is the use of voi data at 5.2um resolution?",
  "url": "/competitions/blood-vessel-segmentation/discussion/457179",
  "author_name": "",
  "post_date": "2023-11-23T11:29:28.236637400Z",
  "votes": 9,
  "comment_count": 2,
  "views": 0,
  "content": "<p>anyone has experiments with \"kidney_1_voi - A high-resolution subset of kidney_1, at 5.2um resolution.\"?<br>\nWhat is the use of this data?</p>",
  "messages": [
    {
      "id": "2535493",
      "postDate": "11/23/2023 11:29:28",
      "content": "<p>anyone has experiments with \"kidney_1_voi - A high-resolution subset of kidney_1, at 5.2um resolution.\"?<br>\nWhat is the use of this data?</p>",
      "rawMarkdown": "anyone has experiments with \"kidney_1_voi - A high-resolution subset of kidney_1, at 5.2um resolution.\"?\nWhat is the use of this data?",
      "votes": null
    },
    {
      "id": "2537262",
      "postDate": "11/25/2023 01:35:29",
      "content": "<p><a href=\"https://www.kaggle.com/competitions/blood-vessel-segmentation/data\" target=\"_blank\">https://www.kaggle.com/competitions/blood-vessel-segmentation/data</a></p>\n<p>it is stated \"HiP-CT is an imaging technique that obtains high-resolution (from 1.4 micrometers - 50 micrometers resolution) 3D data from ex vivo organs. \"</p>\n<p>TRAIN:  about 50um for kidney dense/sparse 1,2,3,while 5.2um  for kidney voi<br>\n\"TEST:  These scans may or may not use a different beamline or resolution from the scans used in the training set. \"</p>\n<p>can i assume that the requirement for kaggle compeition is 1.4 to 50 um?</p>",
      "rawMarkdown": "https://www.kaggle.com/competitions/blood-vessel-segmentation/data\n\nit is stated \"HiP-CT is an imaging technique that obtains high-resolution (from 1.4 micrometers - 50 micrometers resolution) 3D data from ex vivo organs. \"\n\nTRAIN:  about 50um for kidney dense/sparse 1,2,3,while 5.2um  for kidney voi\n\"TEST:  These scans may or may not use a different beamline or resolution from the scans used in the training set. \"\n\ncan i assume that the requirement for kaggle compeition is 1.4 to 50 um?",
      "votes": null
    },
    {
      "id": "2622211",
      "postDate": "01/27/2024 10:33:29",
      "content": "<p><img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F5157521%2Fda5dce863147812a9ece12655636051e%2Fimage_2024-01-27_155933039.png?generation=1706351375953381&amp;alt=media\"></p>\n<p><strong>K1D -&gt; Kidney_1_dense</strong></p>\n<p><strong>K1V -&gt; Kidney_1_voi</strong></p>\n<p>I was going through images from <strong>kidney_1_dense</strong> and <strong>kidney_1_voi</strong>. Based on the above image, can I conclude that <strong>kidney_1_voi</strong> is looking at a particular region of <strong>kidney_1_dense</strong>? Please correct me if I am wrong!</p>",
      "rawMarkdown": "![](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F5157521%2Fda5dce863147812a9ece12655636051e%2Fimage_2024-01-27_155933039.png?generation=1706351375953381&alt=media)\n\n**K1D -> Kidney_1_dense**\n\n**K1V -> Kidney_1_voi**\n\nI was going through images from **kidney_1_dense** and **kidney_1_voi**. Based on the above image, can I conclude that **kidney_1_voi** is looking at a particular region of **kidney_1_dense**? Please correct me if I am wrong!",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 2537262,
      "author_name": "hengck23",
      "author_url": "",
      "post_date": "11/25/2023 01:35:29",
      "content": "<p><a href=\"https://www.kaggle.com/competitions/blood-vessel-segmentation/data\" target=\"_blank\">https://www.kaggle.com/competitions/blood-vessel-segmentation/data</a></p>\n<p>it is stated \"HiP-CT is an imaging technique that obtains high-resolution (from 1.4 micrometers - 50 micrometers resolution) 3D data from ex vivo organs. \"</p>\n<p>TRAIN:  about 50um for kidney dense/sparse 1,2,3,while 5.2um  for kidney voi<br>\n\"TEST:  These scans may or may not use a different beamline or resolution from the scans used in the training set. \"</p>\n<p>can i assume that the requirement for kaggle compeition is 1.4 to 50 um?</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 2622211,
      "author_name": "hotsonhonet",
      "author_url": "",
      "post_date": "01/27/2024 10:33:29",
      "content": "<p><img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F5157521%2Fda5dce863147812a9ece12655636051e%2Fimage_2024-01-27_155933039.png?generation=1706351375953381&amp;alt=media\"></p>\n<p><strong>K1D -&gt; Kidney_1_dense</strong></p>\n<p><strong>K1V -&gt; Kidney_1_voi</strong></p>\n<p>I was going through images from <strong>kidney_1_dense</strong> and <strong>kidney_1_voi</strong>. Based on the above image, can I conclude that <strong>kidney_1_voi</strong> is looking at a particular region of <strong>kidney_1_dense</strong>? Please correct me if I am wrong!</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "2535493": "anyone has experiments with \"kidney_1_voi - A high-resolution subset of kidney_1, at 5.2um resolution.\"?\nWhat is the use of this data?",
    "2537262": "https://www.kaggle.com/competitions/blood-vessel-segmentation/data\n\nit is stated \"HiP-CT is an imaging technique that obtains high-resolution (from 1.4 micrometers - 50 micrometers resolution) 3D data from ex vivo organs. \"\n\nTRAIN:  about 50um for kidney dense/sparse 1,2,3,while 5.2um  for kidney voi\n\"TEST:  These scans may or may not use a different beamline or resolution from the scans used in the training set. \"\n\ncan i assume that the requirement for kaggle compeition is 1.4 to 50 um?",
    "2622211": "![](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F5157521%2Fda5dce863147812a9ece12655636051e%2Fimage_2024-01-27_155933039.png?generation=1706351375953381&alt=media)\n\n**K1D -> Kidney_1_dense**\n\n**K1V -> Kidney_1_voi**\n\nI was going through images from **kidney_1_dense** and **kidney_1_voi**. Based on the above image, can I conclude that **kidney_1_voi** is looking at a particular region of **kidney_1_dense**? Please correct me if I am wrong!"
  },
  "source": "meta"
}