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Diagnostic Accuracy and Generalizability of a Deep Learning-Based Fully Automated Algorithm for Coronary Artery Stenosis Detection on CCTA: A Multi-Centre Registry Study (vol 8, 707508, 2021)open access

Authors
Xu, LixueHe, YiLuo, NanGuo, NingHong, MinJia, XibinWang, ZhenchangYang, Zhenghan
Issue Date
Jun-2022
Publisher
Frontiers Media S.A.
Keywords
coronary artery disease; computed tomographic angiography; deep learning; invasive coronary angiography (ICA); diagnostic test
Citation
Frontiers in Cardiovascular Medicine, v.9, pp 1 - 1
Pages
1
Journal Title
Frontiers in Cardiovascular Medicine
Volume
9
Start Page
1
End Page
1
URI
https://scholarworks.bwise.kr/sch/handle/2021.sw.sch/21475
DOI
10.3389/fcvm.2022.920738
ISSN
2297-055X
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