CCAP: A Dataset with Capillary-Level Annotation and Vessel Caliber Differentiation

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Authors: Hao Ren, Ruining Wang, F S Jing, Rongfeng Cheng, Yan Fang, Weitao Cai, Yihan Cheng, Jiandong Zhou, Haobin Zhang, Zhongzhi Xu, Guanming Li, Yu Sun
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Abstract

CCAP (Coronary Capillary and Caliber-Aware Angiography) is a re-annotation dataset for coronary X-ray angiography, providing high-quality vessel segmentation masks with an emphasis on capillary-level detail and vessel-caliber awareness. This release contains only the derived annotations and accompanying metadata, enabling research on coronary vessel segmentation, microvasculature analysis, and caliber-aware modeling in challenging angiographic conditions (low contrast, overlap, and discontinuities). To comply with the original dataset’s redistribution policy, this Zenodo record does not include any original angiography images. Instead, we provide: (1) the re-annotated segmentation masks, and (2) a mapping file (CSV) that links each mask to its corresponding image identifier/path in the original dataset, so that users can reproduce the image–mask pairing after obtaining the original images from their official source.

Fields of Study & Subjects

Medical Image Segmentation Techniques Cardiac Imaging and Diagnostics Retinal Imaging and Analysis

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
4 March 2026
Language
EN
Document type
Dataset