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README.md
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dataset_info:
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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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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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---
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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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# ARCADE
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Automatic Region-based Coronary Artery Disease diagnostics using X-ray angiography imagEs.
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## Description
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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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## Subsets
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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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## Splits
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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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## Mask Labels
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**Syntax** (26 classes): Coronary artery segments 1-16c per SYNTAX Score methodology.
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**Stenosis** (26 classes): Same artery segments (1-25) plus class 26 = stenosis lesion.
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Pixel value 0 = background.
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## Source
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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
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