{
  "id": 388875,
  "title": "Text Removal From Images Solution",
  "url": "/competitions/rsna-breast-cancer-detection/discussion/388875",
  "author_name": "Yacine Bouaouni",
  "post_date": "2023-02-19T22:54:10.280000",
  "votes": 2,
  "comment_count": 2,
  "views": 0,
  "content": "<p>Hello ✋,</p>\n<p>Some of you might have noticed that the text on the images can have a negative impact on some models.<br>\nI'm sharing with you a solution to detect and remove the text in this notebook: <a href=\"https://www.kaggle.com/code/jarvisai7/text-removal-from-medical-images/notebook\" target=\"_blank\">Notebook Link</a><br>\nI hope it will help you. Good luck!🙌</p>",
  "messages": [
    {
      "id": 2151198,
      "postDate": "2023-02-19T22:54:10.280Z",
      "content": "<p>Hello ✋,</p>\n<p>Some of you might have noticed that the text on the images can have a negative impact on some models.<br>\nI'm sharing with you a solution to detect and remove the text in this notebook: <a href=\"https://www.kaggle.com/code/jarvisai7/text-removal-from-medical-images/notebook\" target=\"_blank\">Notebook Link</a><br>\nI hope it will help you. Good luck!🙌</p>",
      "rawMarkdown": "Hello ✋,\n\nSome of you might have noticed that the text on the images can have a negative impact on some models.\nI'm sharing with you a solution to detect and remove the text in this notebook: [Notebook Link](https://www.kaggle.com/code/jarvisai7/text-removal-from-medical-images/notebook)\nI hope it will help you. Good luck!🙌",
      "votes": 2
    },
    {
      "id": 2167330,
      "postDate": "2023-03-03T12:19:49.263Z",
      "content": "<p>There is sometimes a DICOM tag <code>0028,0301  Burned In Annotation</code> to tell if we should expect watermarks in the images, it might be manufacturer specific tag.</p>",
      "rawMarkdown": "There is sometimes a DICOM tag `0028,0301  Burned In Annotation` to tell if we should expect watermarks in the images, it might be manufacturer specific tag."
    },
    {
      "id": 2151207,
      "postDate": "2023-02-19T23:09:18.673Z",
      "content": "<p>Perfect! 😀</p>",
      "rawMarkdown": "Perfect! 😀"
    }
  ],
  "comments": [
    {
      "id": 2167330,
      "author_name": "Antti Isosalo",
      "author_url": "",
      "post_date": "2023-03-03T12:19:49.263000",
      "content": "<p>There is sometimes a DICOM tag <code>0028,0301  Burned In Annotation</code> to tell if we should expect watermarks in the images, it might be manufacturer specific tag.</p>",
      "votes": 0,
      "replies": []
    },
    {
      "id": 2151207,
      "author_name": "Antti Isosalo",
      "author_url": "",
      "post_date": "2023-02-19T23:09:18.673000",
      "content": "<p>Perfect! 😀</p>",
      "votes": 0,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "2151198": "Hello ✋,\n\nSome of you might have noticed that the text on the images can have a negative impact on some models.\nI'm sharing with you a solution to detect and remove the text in this notebook: [Notebook Link](https://www.kaggle.com/code/jarvisai7/text-removal-from-medical-images/notebook)\nI hope it will help you. Good luck!🙌",
    "2167330": "There is sometimes a DICOM tag `0028,0301  Burned In Annotation` to tell if we should expect watermarks in the images, it might be manufacturer specific tag.",
    "2151207": "Perfect! 😀"
  }
}