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Articles Published Processes
5/20/2021 8:38:05 AM | Browse: 463 | Download: 1253
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Received |
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2021-01-24 02:06 |
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Peer-Review Started |
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2021-01-24 02:11 |
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To Make the First Decision |
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Return for Revision |
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2021-03-14 06:13 |
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Revised |
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2021-03-27 11:59 |
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Second Decision |
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2021-04-08 12:59 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Executive Editor-in-Chief |
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2021-04-09 18:45 |
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Articles in Press |
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2021-04-09 18:45 |
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Publication Fee Transferred |
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Edit the Manuscript by Language Editor |
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2021-04-15 19:20 |
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Typeset the Manuscript |
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2021-05-19 00:59 |
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Publish the Manuscript Online |
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2021-05-20 08:38 |
| ISSN |
1007-9327 (print) and 2219-2840 (online) |
| Open Access |
This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/Licenses/by-nc/4.0/ |
| Copyright |
© The Author(s) 2021. Published by Baishideng Publishing Group Inc. All rights reserved. |
| Article Reprints |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
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| Permissions |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
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| Publisher |
Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA |
| Website |
http://www.wjgnet.com |
| Category |
Gastroenterology & Hepatology |
| Manuscript Type |
Minireviews |
| Article Title |
Deep learning for diagnosis of precancerous lesions in upper gastrointestinal endoscopy: A review
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| Manuscript Source |
Invited Manuscript |
| All Author List |
Tao Yan, Pak Kin Wong and Ye-Ying Qin |
| ORCID |
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| Funding Agency and Grant Number |
| Funding Agency |
Grant Number |
| The Science and Technology Development Fund, Macau SAR |
0021/2019/A |
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| 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. |
| Publish Date |
2021-05-20 08:38 |
| 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 |
| URL |
https://www.wjgnet.com/1007-9327/full/v27/i20/2531.htm |
| DOI |
https://dx.doi.org/10.3748/wjg.v27.i20.2531 |
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