Deep learning based detection of collateral circulation in coronary angiographies

arXiv:2403.12055v1 Announce Type: new
Abstract: Coronary artery disease (CAD) is the dominant cause of death and hospitalization across the globe. Atherosclerosis, an inflammatory condition that gradually narrows arteries and has potentially fatal effects, is the most frequent cause of CAD. Nonetheless, the circulation regularly adapts in the presence of atherosclerosis, through the formation of collateral arteries, resulting in significant long-term health benefits. Therefore, timely detection of coronary collateral circulation (CCC) is crucial for CAD personalized medicine. We propose a novel …

abstract arxiv cad cs.ai cs.cv death deep learning detection disease effects type