Dataset for Automatic Region-based Coronary Artery Disease Diagnostics Using X-Ray Angiography Images.

ABSTRACT: X-ray coronary angiography is the most common tool for the diagnosis and treatment of coronary artery disease. It involves the injection of contrast agents into coronary vessels using a catheter to highlight the coronary vessel structure. Typically, multiple 2D X-ray projections are recorded from different angles to improve visualization. Recent advances in the development of deep-learning-based tools promise significant improvement in diagnosing and treating coronary artery disease. However, the limited public availability of annotated X-ray coronary angiography image datasets presents a challenge for objective assessment and comparison of existing tools and the development of novel methods. To address this challenge, we introduce a novel ARCADE dataset with 2 objectives: coronary vessel

SUBMITTER: Popov M 

PROVIDER: S-EPMC10764944 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature