Publication Name	World Journal of Gastroenterology
Manuscript ID	63075
Country	China

Category	Gastroenterology & Hepatology
Manuscript Type	Minireviews
Article Title	Deep learning for diagnosis of precancerous lesions in upper gastrointestinal endoscopy: A review
Manuscript Source	Invited Manuscript
All Author List	Tao Yan, Pak Kin Wong and Ye-Ying Qin
Funding Agency and Grant Number	Funding Agency Grant Number The Science and Technology Development Fund, Macau SAR 0021/2019/A
Corresponding Author	Pak Kin Wong, PhD, Professor, Department of Electromechanical Engineering, University of Macau, Avenida da Universidade, Taipa 999078, Macau, China. fstpkw@um.edu.mo
Key Words	Artificial intelligence; Deep learning; Convolutional neural network; Precancerous lesions; Endoscopy
Core Tip	Artificial intelligence (AI) techniques, especially deep learning (DL) algorithms with convolutional neural networks, have revolutionized upper gastrointestinal (GI) endoscopy. In recent years, several DL-based AI systems have emerged in the GI community for endoscopic detection of precancerous lesions. The current review provides an analysis of the DL-based diagnosis of precancerous lesions in the upper GI tract, states the current status, and identifies future challenges and recommendations.
Citation	Yan T, Wong PK, Qin YY. Deep learning for diagnosis of precancerous lesions in upper gastrointestinal endoscopy: A review. World J Gastroenterol 2021; 27(20): 2531-2544

Received	2021-01-24 02:06
Peer-Review Started	2021-01-24 02:11
To Make the First Decision
Return for Revision	2021-03-14 06:13
Revised	2021-03-27 11:59
Second Decision	2021-04-08 12:59
Accepted by Journal Editor-in-Chief
Accepted by Company Editor-in-Chief	2021-04-09 18:45
Articles in Press	2021-04-09 18:45
Publication Fee Transferred
Edit the Manuscript by Language Editor	2021-04-15 19:20
Typeset the Manuscript	2021-05-19 00:59

ISSN	1007-9327 (print) and 2219-2840 (online)
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