{
  "id": 637689,
  "title": "ECG ROI Segmentation Dataset",
  "url": "/competitions/physionet-ecg-image-digitization/discussion/637689",
  "author_name": "",
  "post_date": "2025-11-22T16:39:17.605164100Z",
  "votes": 3,
  "comment_count": 1,
  "views": 0,
  "content": "<p>Hello everyone, I have created this ECG ROI Segmentation Dataset, </p>\n<h2>Description</h2>\n<p>All the full-page ECG scans are carefully cropped into individual leads and corresponding masks are extracted. All extracted images are ensured vertically centered around the signal's 0mV baseline. And Image heights are rounded relative to the background grid cell width.</p>\n<p>Dataset Link: <a href=\"https://www.kaggle.com/datasets/gowrishankarp/ecg-dataset-cropped\" target=\"_blank\">https://www.kaggle.com/datasets/gowrishankarp/ecg-dataset-cropped</a> <br>\nNotebook Link: <a href=\"https://www.kaggle.com/code/gowrishankarp/ecg-dataset-generation\" target=\"_blank\">https://www.kaggle.com/code/gowrishankarp/ecg-dataset-generation</a></p>\n<h2>Examples:</h2>\n<p><img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F8096091%2F81057a2617ebbb53a4fd2c47a7225e71%2F__results___6_2.png?generation=1763756932608180&amp;alt=media\" alt=\"\">\n<img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F8096091%2Fc951b8a49b04743aa594d0d082d8cbd1%2F__results___6_3.png?generation=1763756959612691&amp;alt=media\" alt=\"\"></p>\n<p><img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F8096091%2F5148869d6209efc550646f83bbe5bdcd%2F__results___6_4.png?generation=1763756975898283&amp;alt=media\" alt=\"\"></p>",
  "messages": [
    {
      "id": "3344539",
      "postDate": "11/22/2025 16:39:17",
      "content": "<p>Hello everyone, I have created this ECG ROI Segmentation Dataset, </p>\n<h2>Description</h2>\n<p>All the full-page ECG scans are carefully cropped into individual leads and corresponding masks are extracted. All extracted images are ensured vertically centered around the signal's 0mV baseline. And Image heights are rounded relative to the background grid cell width.</p>\n<p>Dataset Link: <a href=\"https://www.kaggle.com/datasets/gowrishankarp/ecg-dataset-cropped\" target=\"_blank\">https://www.kaggle.com/datasets/gowrishankarp/ecg-dataset-cropped</a> <br>\nNotebook Link: <a href=\"https://www.kaggle.com/code/gowrishankarp/ecg-dataset-generation\" target=\"_blank\">https://www.kaggle.com/code/gowrishankarp/ecg-dataset-generation</a></p>\n<h2>Examples:</h2>\n<p><img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F8096091%2F81057a2617ebbb53a4fd2c47a7225e71%2F__results___6_2.png?generation=1763756932608180&amp;alt=media\" alt=\"\">\n<img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F8096091%2Fc951b8a49b04743aa594d0d082d8cbd1%2F__results___6_3.png?generation=1763756959612691&amp;alt=media\" alt=\"\"></p>\n<p><img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F8096091%2F5148869d6209efc550646f83bbe5bdcd%2F__results___6_4.png?generation=1763756975898283&amp;alt=media\" alt=\"\"></p>",
      "rawMarkdown": "Hello everyone, I have created this ECG ROI Segmentation Dataset, \n\n## Description\nAll the full-page ECG scans are carefully cropped into individual leads and corresponding masks are extracted. All extracted images are ensured vertically centered around the signal's 0mV baseline. And Image heights are rounded relative to the background grid cell width.\n\nDataset Link: https://www.kaggle.com/datasets/gowrishankarp/ecg-dataset-cropped <br>\nNotebook Link: https://www.kaggle.com/code/gowrishankarp/ecg-dataset-generation\n\n## Examples: \n![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F8096091%2F81057a2617ebbb53a4fd2c47a7225e71%2F__results___6_2.png?generation=1763756932608180&alt=media)\n![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F8096091%2Fc951b8a49b04743aa594d0d082d8cbd1%2F__results___6_3.png?generation=1763756959612691&alt=media)\n\n![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F8096091%2F5148869d6209efc550646f83bbe5bdcd%2F__results___6_4.png?generation=1763756975898283&alt=media)",
      "votes": null
    },
    {
      "id": "3377630",
      "postDate": "12/16/2025 17:20:57",
      "content": "<p>hi <a href=\"https://www.kaggle.com/gowrishankarp\" target=\"_blank\">@gowrishankarp</a>  , \nThanks for your work.\nI think you shared the notebook link but forgot to make it public.</p>",
      "rawMarkdown": "hi @gowrishankarp  , \nThanks for your work.\nI think you shared the notebook link but forgot to make it public.",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 3377630,
      "author_name": "vc9408",
      "author_url": "",
      "post_date": "12/16/2025 17:20:57",
      "content": "<p>hi <a href=\"https://www.kaggle.com/gowrishankarp\" target=\"_blank\">@gowrishankarp</a>  , \nThanks for your work.\nI think you shared the notebook link but forgot to make it public.</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "3344539": "Hello everyone, I have created this ECG ROI Segmentation Dataset, \n\n## Description\nAll the full-page ECG scans are carefully cropped into individual leads and corresponding masks are extracted. All extracted images are ensured vertically centered around the signal's 0mV baseline. And Image heights are rounded relative to the background grid cell width.\n\nDataset Link: https://www.kaggle.com/datasets/gowrishankarp/ecg-dataset-cropped <br>\nNotebook Link: https://www.kaggle.com/code/gowrishankarp/ecg-dataset-generation\n\n## Examples: \n![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F8096091%2F81057a2617ebbb53a4fd2c47a7225e71%2F__results___6_2.png?generation=1763756932608180&alt=media)\n![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F8096091%2Fc951b8a49b04743aa594d0d082d8cbd1%2F__results___6_3.png?generation=1763756959612691&alt=media)\n\n![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F8096091%2F5148869d6209efc550646f83bbe5bdcd%2F__results___6_4.png?generation=1763756975898283&alt=media)",
    "3377630": "hi @gowrishankarp  , \nThanks for your work.\nI think you shared the notebook link but forgot to make it public."
  },
  "source": "meta"
}