Biomedical Engineering
Vol. 39 No. 10 (2024): Proceedings of Faculty of Technical Sciences
DETECTION OF STENOSIS AND OCCLUSION OF CORONARY ARTERIES
Abstract
The paper is based on the detection of stenoses and occlusions of the coronary arteries of the heart, as well as finding their percentage of blockage, using machine learning algorithms, namely YOLOv4, YOLOv8 algorithms, and the Detectron2 library. The dataset used for the project consists of 3.850 images of coronary arteries where stenoses and/or occlusions are clearly marked.
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