{
  "id": 507583,
  "title": "Assistance Needed: Converting Point Labels to Box Labels for 3D MRI Detection",
  "url": "/competitions/rsna-2024-lumbar-spine-degenerative-classification/discussion/507583",
  "author_name": "",
  "post_date": "2024-05-26T12:51:42.396246Z",
  "votes": 2,
  "comment_count": 2,
  "views": 0,
  "content": "<p>Hello everyone,</p>\n<p>I'm currently working on a project involving 3D MRI detection, but I've encountered a roadblock. The data I have consists of labels in point format (specifically, x and y coordinates). However, for detection purposes, I need these labels to be in a box format.</p>\n<p>Could someone guide me on how to process or convert these point labels into box labels suitable for 3D MRI detection? I am relatively new to this field and would greatly appreciate any advice or resources that could help me understand how to approach this conversion.</p>\n<p>Thank you in advance for your help!</p>",
  "messages": [
    {
      "id": "2837365",
      "postDate": "05/26/2024 12:51:42",
      "content": "<p>Hello everyone,</p>\n<p>I'm currently working on a project involving 3D MRI detection, but I've encountered a roadblock. The data I have consists of labels in point format (specifically, x and y coordinates). However, for detection purposes, I need these labels to be in a box format.</p>\n<p>Could someone guide me on how to process or convert these point labels into box labels suitable for 3D MRI detection? I am relatively new to this field and would greatly appreciate any advice or resources that could help me understand how to approach this conversion.</p>\n<p>Thank you in advance for your help!</p>",
      "rawMarkdown": "Hello everyone,\n\nI'm currently working on a project involving 3D MRI detection, but I've encountered a roadblock. The data I have consists of labels in point format (specifically, x and y coordinates). However, for detection purposes, I need these labels to be in a box format.\n\nCould someone guide me on how to process or convert these point labels into box labels suitable for 3D MRI detection? I am relatively new to this field and would greatly appreciate any advice or resources that could help me understand how to approach this conversion.\n\nThank you in advance for your help!",
      "votes": null
    },
    {
      "id": "2839128",
      "postDate": "05/27/2024 11:54:31",
      "content": "<p>Try turning them to: ((x-10, y-10),( x+10, y+10)) (top left, bottom right) then you have a box of 20 x 20 pixels.<br>\nNote:  the scale of the field of view is not always the same, meaning 20 px is not always the same size in real life.</p>",
      "rawMarkdown": "Try turning them to: ((x-10, y-10),( x+10, y+10)) (top left, bottom right) then you have a box of 20 x 20 pixels.\nNote:  the scale of the field of view is not always the same, meaning 20 px is not always the same size in real life.",
      "votes": null
    },
    {
      "id": "2841061",
      "postDate": "05/28/2024 11:33:46",
      "content": "<p>Is there any criteria for determining the scale of the field in real life?</p>",
      "rawMarkdown": "Is there any criteria for determining the scale of the field in real life?",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 2839128,
      "author_name": "sandorkonya",
      "author_url": "",
      "post_date": "05/27/2024 11:54:31",
      "content": "<p>Try turning them to: ((x-10, y-10),( x+10, y+10)) (top left, bottom right) then you have a box of 20 x 20 pixels.<br>\nNote:  the scale of the field of view is not always the same, meaning 20 px is not always the same size in real life.</p>",
      "votes": null,
      "replies": [
        {
          "id": 2841061,
          "author_name": "samu2505",
          "author_url": "",
          "post_date": "05/28/2024 11:33:46",
          "content": "<p>Is there any criteria for determining the scale of the field in real life?</p>",
          "votes": null,
          "replies": []
        }
      ]
    }
  ],
  "raw_markdown_by_id": {
    "2837365": "Hello everyone,\n\nI'm currently working on a project involving 3D MRI detection, but I've encountered a roadblock. The data I have consists of labels in point format (specifically, x and y coordinates). However, for detection purposes, I need these labels to be in a box format.\n\nCould someone guide me on how to process or convert these point labels into box labels suitable for 3D MRI detection? I am relatively new to this field and would greatly appreciate any advice or resources that could help me understand how to approach this conversion.\n\nThank you in advance for your help!",
    "2839128": "Try turning them to: ((x-10, y-10),( x+10, y+10)) (top left, bottom right) then you have a box of 20 x 20 pixels.\nNote:  the scale of the field of view is not always the same, meaning 20 px is not always the same size in real life.",
    "2841061": "Is there any criteria for determining the scale of the field in real life?"
  },
  "source": "meta"
}