Deep Learning-Based Automated Quantification of Coronary Artery Calcification for Contrast-Enhanced Coronary Computed Tomographic Angiography

Deep Learning-Based Automated Quantification of Coronary Artery Calcification for Contrast-Enhanced Coronary Computed Tomographic Angiography

Background: We evaluated the accuracy of a deep learning-based automated quantification algorithm for coronary artery calcium (CAC) based on enhanced ECG-gated coronary CT angiography (CCTA) with dedicated coronary calcium scoring CT (CSCT) as the reference. Methods: This retrospective study include...

Full description

Bibliographic Details
Main Authors: Jung Oh Lee, Eun-Ah Park, Daebeom Park, Whal Lee
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Journal of Cardiovascular Development and Disease
Subjects:
coronary artery calcium score
coronary CT angiography
deep learning
Online Access:https://www.mdpi.com/2308-3425/10/4/143

Similar Items

Similar Items