Current Evidence and Future Perspective of Accuracy of Artificial Intelligence Application for Early Gastric Cancer Diagnosis With Endoscopy: A Systematic and Meta-Analysis
- 1First College of Clinic Medicine, Guangzhou University of Chinese Medicine, Guangzhou, China
- 2Department of Spleen-Stomach and Liver Diseases, Traditional Chinese Medicine Hospital of Hainan Affiliated to Guangzhou University of Chinese Medicine, Haikou, China
- 3Department of Gastroenterology, First Affiliation Hospital, Guangzhou University of Chinese Medicine, Guangzhou, China
by Jiang, K., Jiang, X., Pan, J., Wen, Y., Huang, Y., Weng, S., et al. (2021). Front. Med. 8:629080. doi: 10.3389/fmed.2021.629080
The authors' names and surnames were accidentally inverted. The correct author list appears below:
Kailin Jiang1, Xiaotao Jiang1, Jinglin Pan2, Yi Wen3, Yuanchen Huang1, Senhui Weng1, Shaoyang Lan3, Kechao Nie1, Zhihua Zheng1, Shuling Ji1, Peng Liu1, Peiwu Li3* and Fengbin Liu3*
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
Keywords: artificial intelligence, machine learning, deep learning, early gastric cancer, endoscopy
Citation: Jiang K, Jiang X, Pan J, Wen Y, Huang Y, Weng S, Lan S, Nie K, Zheng Z, Ji S, Liu P, Li P and Liu F (2021) Corrigendum: Current Evidence and Future Perspective of Accuracy of Artificial Intelligence Application for Early Gastric Cancer Diagnosis With Endoscopy: A Systematic and Meta-Analysis. Front. Med. 8:698483. doi: 10.3389/fmed.2021.698483
Received: 21 April 2021; Accepted: 23 April 2021;
Published: 14 May 2021.
Approved by:
Frontiers Editorial Office, Frontiers Media SA, SwitzerlandCopyright © 2021 Jiang, Jiang, Pan, Wen, Huang, Weng, Lan, Nie, Zheng, Ji, Liu, Li and Liu. 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: Peiwu Li, doctorlipw@gzucm.edu.cn; Fengbin Liu, liufb163@vip.163.com