Corrigendum: Acute Myocardial Infarction Detection Using Deep Learning-Enabled Electrocardiograms.

acute myocardial infarction convolutional neural network deep learning electrocardiogram residual network

Journal

Frontiers in cardiovascular medicine
ISSN: 2297-055X
Titre abrégé: Front Cardiovasc Med
Pays: Switzerland
ID NLM: 101653388

Informations de publication

Date de publication:
2021
Historique:
received: 27 07 2021
accepted: 03 08 2021
entrez: 10 9 2021
pubmed: 11 9 2021
medline: 11 9 2021
Statut: epublish

Résumé

[This corrects the article DOI: 10.3389/fcvm.2021.654515.].

Identifiants

pubmed: 34504883
doi: 10.3389/fcvm.2021.735864
pmc: PMC8422908
doi:

Types de publication

Published Erratum

Langues

eng

Pagination

735864

Commentaires et corrections

Type : ErratumFor

Informations de copyright

Copyright © 2021 Chen, Guo, Zhao, Huang, Wang, Sun, Li and Mo.

Auteurs

Xiehui Chen (X)

Shenzhen Longhua District Central Hospital, Shenzhen, China.

Wenqin Guo (W)

Department of Cardiology, Fuwai Hospital Chinese Academy of Medical Sciences, Shenzhen, Shenzhen, China.

Lingyue Zhao (L)

Department of Ambulatory Surgery, Huazhong University of Science and Technology Union Shenzhen Hospital, Shenzhen, China.

Weichao Huang (W)

Department of Cardiology, Fuwai Hospital Chinese Academy of Medical Sciences, Shenzhen, Shenzhen, China.

Lili Wang (L)

Department of Cardiology, Fuwai Hospital Chinese Academy of Medical Sciences, Shenzhen, Shenzhen, China.

Aimei Sun (A)

Department of Cardiology, Fuwai Hospital Chinese Academy of Medical Sciences, Shenzhen, Shenzhen, China.

Lang Li (L)

Department of Cardiology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.

Fanrui Mo (F)

Department of Cardiology, The Fourth Affiliated Hospital of Guangxi Medical University, Liuzhou, China.

Classifications MeSH