Corrigendum: Diagnostic Accuracy and Generalizability of a Deep Learning-Based Fully Automated Algorithm for Coronary Artery Stenosis Detection on CCTA: A Multi-Centre Registry Study

Front Cardiovasc Med. 2022 Jun 13:9:920738. doi: 10.3389/fcvm.2022.920738. eCollection 2022.

Authors

Lixue Xu¹, Yi He¹, Nan Luo¹, Ning Guo², Min Hong³, Xibin Jia⁴, Zhenchang Wang¹, Zhenghan Yang¹

Affiliations

¹ Affiliated Beijing Friendship Hospital, Capital Medical University, Beijing, China.
² Shukun (Beijing) Technology Co., Ltd., Beijing, China.
³ Department of Computer Software Engineering, Soonchunhyang University, Asan-si, South Korea.
⁴ Faculty of Information Technology, Beijing University of Technology, Beijing, China.

Abstract

[This corrects the article DOI: 10.3389/fcvm.2021.707508.].

Keywords: computed tomographic angiography; coronary artery disease; deep learning; diagnostic test; invasive coronary angiography (ICA).

Copyright © 2022 Xu, He, Luo, Guo, Hong, Jia, Wang and Yang.

Publication types

Published Erratum