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MedVision: Medical Image Segmentation Framework
📑 Paper | 🌐 Project Page | 💾 Released Resources | 📦 Repo
We release the raw data for our processed medical image segmentation dataset, adopted from the original MedMNIST collection by MedMNIST team.
The data format for each sample in the chest_xray_segmentation.jsonl is as follows:
{
"image_id": <unique identifier for the medical image>,
"modality": <imaging modality: CT, MRI, X-Ray, etc.>,
"region": <anatomical region of interest>,
"mask_data": <segmentation mask in RLE format>,
"annotations": [
{
"label": <anatomical structure label>,
"confidence": <annotation confidence score>
},
...
],
"source": <the source of the raw medical images>,
"category": <the diagnostic category>,
"meta": <meta information about this sample>
}
Some segmentation masks may be incomplete due to edge cases in automatic annotation pipelines.
*Note: Due to medical data handling requirements, some images have been preprocessed to remove patient identifiers while preserving diagnostic value.
License
The license for this dataset is CC BY 4.0.
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