Automated Assessment of CT Coronary Artery Stenosis Using a Deep Learning Approach
Heart Lung and Circulation(2022)
Abstract
Clinical assessment of coronary artery stenosis (CAS) severity using CT coronary angiography (CTCA) is time-consuming and dependent on reader expertise. Inaccurate evaluation of CTCA can lead to inappropriate testing and excess health costs. In this study, we aim to develop and validate a fully automated deep-learning (DL) system capable of evaluating CAS severity on CTCA.
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Key words
ct coronary artery stenosis,deep learning
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