Automatic Quantitative Coronary Analysis Based on Deep Learning

• Published in: Applied sciences Vol. 13; no. 5; p. 2975
• Main Authors: Liu, Xuqing, Wang, Xiaofei, Chen, Donghao, Zhang, Honggang
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.02.2023
• Subjects: Accuracy; Algorithms; Angioplasty; Artificial intelligence; Automation; Cardiology; Cardiovascular disease; coronary angiogram; Coronary heart disease; Coronary vessels; Deep learning; Medical imaging; Methods; Mortality; qantitative coronary analysis; Stents; Tomography; Vein & artery diseases; vessel segmentation; vessel tree; Netherlands

As a core technique to quantitatively assess the stenosis severity of coronary arteries, quantitative coronary analysis (QCA) is urgently supposed to become more automated and intelligent, especially for regions lacking expertise and technology. The existing QCA methods highly depend on manual opera...