In the published article, there was an error in affiliation “1.” Instead of “Department of Radiology, The Affiliated Nanjing Drum Tower Hospital of Nanjing University Medical School, Nanjing, China,” it should be “Department of Radiology, Zhujiang Hospital, Southern Medical University, Guangzhou, China.”
The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.
Publisher's Note
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Summary
Keywords
stroke, deep learning, computed tomography, automatic cranial scanning, accurate and repeatable images
Citation
Wang Y, Zhu J, Zhao J, Li W, Zhang X, Meng X, Chen T, Li M, Ye M, Hu R, Dou S, Hao H, Zhao X, Wu X, Hu W, Li C, Fan X, Jiang L, Lu X and Yan F (2022) Corrigendum: Deep Learning-Enabled Clinically Applicable CT Planbox for Stroke With High Accuracy and Repeatability. Front. Neurol. 13:921992. doi: 10.3389/fneur.2022.921992
Received
17 April 2022
Accepted
19 April 2022
Published
09 May 2022
Approved by
Frontiers Editorial Office, Frontiers Media SA, Switzerland
Volume
13 - 2022
Updates
Copyright
© 2022 Wang, Zhu, Zhao, Li, Zhang, Meng, Chen, Li, Ye, Hu, Dou, Hao, Zhao, Wu, Hu, Li, Fan, Jiang, Lu and Yan.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Xiaofan Lu xlu.cpu@foxmail.comFangrong Yan f.r.yan@outlook.com
†These authors have contributed equally to this work
This article was submitted to Stroke, a section of the journal Frontiers in Neurology
Disclaimer
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.