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ARCADE
Automatic Region-based Coronary Artery Disease diagnostics using X-ray angiography imagEs.
Description
X-ray coronary angiography (XCA) dataset for coronary artery segmentation and stenosis detection. Contains 3,000 grayscale 512x512 images across two tasks.
Subsets
- syntax: Coronary artery segment classification into 26 anatomical regions per SYNTAX Score methodology (1,500 images)
- stenosis: Atherosclerotic plaque / stenotic lesion detection and segmentation (1,500 images)
Splits
| Split | Images per subset |
|---|---|
| Train | 1,000 |
| Val | 200 |
| Test | 300 |
Mask Labels
Syntax (26 classes): Coronary artery segments 1-16c per SYNTAX Score methodology.
Stenosis (26 classes): Same artery segments (1-25) plus class 26 = stenosis lesion.
Pixel value 0 = background.
Source
- Paper: Popov et al., "Dataset for Automatic Region-based Coronary Artery Disease Diagnostics Using X-Ray Angiography Images", Scientific Data 11, 20 (2024). DOI: 10.1038/s41597-023-02871-z
- Zenodo: https://zenodo.org/records/10390295
- License: CC0 1.0 Universal
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