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  ---
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  dataset_info:
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- - config_name: stenosis
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- features:
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- - name: image
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- dtype: image
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- - name: mask
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- dtype: image
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- - name: image_id
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- dtype: int64
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- - name: file_name
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- dtype: string
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- splits:
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- - name: train
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- num_bytes: 193091513
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- num_examples: 1000
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- - name: val
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- num_bytes: 39557048
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- num_examples: 200
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- - name: test
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- num_bytes: 50322296
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- num_examples: 300
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- download_size: 283000051
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- dataset_size: 282970857
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- - config_name: syntax
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- features:
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- - name: image
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- dtype: image
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- - name: mask
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- dtype: image
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- - name: image_id
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- dtype: int64
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- - name: file_name
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- dtype: string
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- splits:
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- - name: train
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- num_bytes: 225305925
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- num_examples: 1000
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- - name: val
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- num_bytes: 42808498
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- num_examples: 200
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- - name: test
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- num_bytes: 52946879
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- num_examples: 300
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- download_size: 321077410
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- dataset_size: 321061302
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  configs:
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- - config_name: stenosis
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- data_files:
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- - split: train
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- path: stenosis/train-*
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- - split: val
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- path: stenosis/val-*
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- - split: test
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- path: stenosis/test-*
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- - config_name: syntax
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- data_files:
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- - split: train
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- path: syntax/train-*
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- - split: val
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- path: syntax/val-*
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- - split: test
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- path: syntax/test-*
 
 
 
 
 
 
 
 
 
 
 
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  dataset_info:
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+ - config_name: syntax
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+ features:
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+ - name: image
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+ dtype: image
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+ - name: mask
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+ dtype: image
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+ - name: image_id
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+ dtype: int64
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+ - name: file_name
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+ dtype: string
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+ splits:
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+ - name: train
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+ num_examples: 1000
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+ - name: val
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+ num_examples: 200
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+ - name: test
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+ num_examples: 300
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+ - config_name: stenosis
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+ features:
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+ - name: image
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+ dtype: image
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+ - name: mask
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+ dtype: image
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+ - name: image_id
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+ dtype: int64
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+ - name: file_name
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+ dtype: string
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+ splits:
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+ - name: train
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+ num_examples: 1000
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+ - name: val
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+ num_examples: 200
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+ - name: test
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+ num_examples: 300
 
 
 
 
 
 
 
 
 
 
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  configs:
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+ - config_name: syntax
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+ data_files:
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+ - split: train
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+ path: syntax/train-*
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+ - split: val
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+ path: syntax/val-*
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+ - split: test
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+ path: syntax/test-*
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+ - config_name: stenosis
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+ data_files:
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+ - split: train
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+ path: stenosis/train-*
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+ - split: val
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+ path: stenosis/val-*
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+ - split: test
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+ path: stenosis/test-*
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+ license: cc0-1.0
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+ task_categories:
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+ - image-segmentation
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+ tags:
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+ - medical-imaging
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+ - coronary-artery
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+ - x-ray-angiography
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+ - SYNTAX-score
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+ pretty_name: ARCADE
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+ size_categories:
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+ - 1K<n<10K
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  ---
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+
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+ # ARCADE
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+
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+ Automatic Region-based Coronary Artery Disease diagnostics using X-ray angiography imagEs.
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+
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+ ## Description
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+
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+ X-ray coronary angiography (XCA) dataset for coronary artery segmentation and stenosis detection. Contains 3,000 grayscale 512x512 images across two tasks.
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+
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+ ## Subsets
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+
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+ - **syntax**: Coronary artery segment classification into 26 anatomical regions per SYNTAX Score methodology (1,500 images)
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+ - **stenosis**: Atherosclerotic plaque / stenotic lesion detection and segmentation (1,500 images)
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+
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+ ## Splits
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+
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+ | Split | Images per subset |
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+ |-------|-------------------|
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+ | Train | 1,000 |
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+ | Val | 200 |
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+ | Test | 300 |
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+
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+ ## Mask Labels
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+
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+ **Syntax** (26 classes): Coronary artery segments 1-16c per SYNTAX Score methodology.
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+
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+ **Stenosis** (26 classes): Same artery segments (1-25) plus class 26 = stenosis lesion.
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+
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+ Pixel value 0 = background.
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+
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+ ## Source
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+
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+ - **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
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+ - **Zenodo**: https://zenodo.org/records/10390295
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+ - **License**: CC0 1.0 Universal