{
  "id": 557003,
  "title": "how to do preprocessing",
  "url": "/competitions/czii-cryo-et-object-identification/discussion/557003",
  "author_name": "",
  "post_date": "2025-01-16T09:14:15.003395500Z",
  "votes": 1,
  "comment_count": 3,
  "views": 0,
  "content": "<p>Hi everyone! Thanks to the many great notebooks shared here, I've been able to join this competition.</p>\n<p>By the way, I'm curious about how everyone is handling preprocessing. Are there any common approaches or tips you'd recommend? Is it something straightforward, or does it require specific expertise?</p>",
  "messages": [
    {
      "id": "3098248",
      "postDate": "01/16/2025 09:14:15",
      "content": "<p>Hi everyone! Thanks to the many great notebooks shared here, I've been able to join this competition.</p>\n<p>By the way, I'm curious about how everyone is handling preprocessing. Are there any common approaches or tips you'd recommend? Is it something straightforward, or does it require specific expertise?</p>",
      "rawMarkdown": "Hi everyone! Thanks to the many great notebooks shared here, I've been able to join this competition.\n\nBy the way, I'm curious about how everyone is handling preprocessing. Are there any common approaches or tips you'd recommend? Is it something straightforward, or does it require specific expertise?",
      "votes": null
    },
    {
      "id": "3098436",
      "postDate": "01/16/2025 13:33:54",
      "content": "<p>I don't know how other participants make preprocesing but for example I do not use any preprocessing in my models</p>",
      "rawMarkdown": "I don't know how other participants make preprocesing but for example I do not use any preprocessing in my models",
      "votes": null
    },
    {
      "id": "3098805",
      "postDate": "01/16/2025 23:44:47",
      "content": "<p>All I do is normalize the tomograms.  I think most of the typical pre-processing has already been done by CZII.  Reconstucting the tomograms, denoising…etc.</p>",
      "rawMarkdown": "All I do is normalize the tomograms.  I think most of the typical pre-processing has already been done by CZII.  Reconstucting the tomograms, denoising...etc.",
      "votes": null
    },
    {
      "id": "3099105",
      "postDate": "01/17/2025 10:14:00",
      "content": "<p>very helpful! thank you!</p>",
      "rawMarkdown": "very helpful! thank you!",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 3098436,
      "author_name": "maksimovka",
      "author_url": "",
      "post_date": "01/16/2025 13:33:54",
      "content": "<p>I don't know how other participants make preprocesing but for example I do not use any preprocessing in my models</p>",
      "votes": null,
      "replies": [
        {
          "id": 3098805,
          "author_name": "davidlist",
          "author_url": "",
          "post_date": "01/16/2025 23:44:47",
          "content": "<p>All I do is normalize the tomograms.  I think most of the typical pre-processing has already been done by CZII.  Reconstucting the tomograms, denoising…etc.</p>",
          "votes": null,
          "replies": [
            {
              "id": 3099105,
              "author_name": "taiki2",
              "author_url": "",
              "post_date": "01/17/2025 10:14:00",
              "content": "<p>very helpful! thank you!</p>",
              "votes": null,
              "replies": []
            }
          ]
        }
      ]
    }
  ],
  "raw_markdown_by_id": {
    "3098248": "Hi everyone! Thanks to the many great notebooks shared here, I've been able to join this competition.\n\nBy the way, I'm curious about how everyone is handling preprocessing. Are there any common approaches or tips you'd recommend? Is it something straightforward, or does it require specific expertise?",
    "3098436": "I don't know how other participants make preprocesing but for example I do not use any preprocessing in my models",
    "3098805": "All I do is normalize the tomograms.  I think most of the typical pre-processing has already been done by CZII.  Reconstucting the tomograms, denoising...etc.",
    "3099105": "very helpful! thank you!"
  },
  "source": "meta"
}