Abstract:Introduction
Coronary computed tomography angiography (CCTA) has emerged as a reliable non-invasive modality to assess coronary artery stenosis (CAS) severity and vulnerable plaque (VP). However, comprehensive CCTA assessment, especially VP, is time-consuming and dependent on reader expertise, limiting CCTA's true potential.
Purpose
In this study, we aim to develop and validate a deep learning (DL) based system capable of eva… Show more
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