Article

Experimental Assessment of YOLO Variants for Coronary Artery Disease Segmentation from Angiograms

2025-05-30

Abstract excerpt

Coronary artery disease (CAD) is one of the leading causes of mortality worldwide, underscoring the importance of developing accurate and efficient diagnostic tools. This study presents a comparative evaluation of three recent YOLO architecture versions—YOLOv8, YOLOv9, and YOLOv11—for the tasks of coronary vessel segmentation and stenosis detection using the ARCADE dataset. Two workflows were explored: one with or...

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Literature Corpus work: 6e487581-50cd-5b60-8cd5-db67b7e91481
DOI: 10.20944/preprints202505.2446.v1

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