Introduction: Cardiac computed tomography angiography (CTA) opens new opportunities on image analysis
for diagnosing cardiovascular disease. Manual delineation remains the main method
to quantify different chambers on CTA images. Deep learning (DL) methods have shown
great promise in medical image analysis. However, DL requires large and high-quality
training labels which are often limited due to its labor intensive nature. We aim
to develop a fully automatic artificial intelligence system based on an optimal computer-labeled
dataset for accurate CTA segmentation.
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© 2022 Published by Elsevier Inc.
