Deep learning powered coronary CT angiography for detecting obstructive coronary artery disease: The effect of reader experience, calcification and image quality
Abstract
Abstract
Objectives
To investigate the effect of reader experience, calcification and image quality on the performance of deep learning (DL) powered coronary CT angiography (CCTA) in automatically detecting obstructive coronary artery disease (CAD) with invasive coronary angiography (ICA) as reference standard.Methods
A total of 165 patients (680 vessels and 1505 segments) were included in this study. Three sessions...Paper Details
Title
Deep learning powered coronary CT angiography for detecting obstructive coronary artery disease: The effect of reader experience, calcification and image quality
Published Date
Sep 1, 2021
Volume
142
Pages
109835 - 109835
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Notes
History