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9/29/2022 1:12:35 PM | Browse: 205 | Download: 583
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Received |
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2022-06-02 12:38 |
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Peer-Review Started |
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2022-06-02 12:40 |
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To Make the First Decision |
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Return for Revision |
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2022-08-01 18:16 |
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Revised |
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2022-08-09 08:45 |
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Second Decision |
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2022-09-20 03:34 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Company Editor-in-Chief |
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2022-09-20 21:48 |
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Articles in Press |
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2022-09-20 21:48 |
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Publication Fee Transferred |
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Edit the Manuscript by Language Editor |
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Typeset the Manuscript |
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2022-09-22 08:10 |
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Publish the Manuscript Online |
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2022-09-29 10:42 |
| 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) 2022. 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 |
Observational Study |
| Article Title |
Application of an artificial intelligence system for endoscopic diagnosis of superficial esophageal squamous cell carcinoma
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| Manuscript Source |
Unsolicited Manuscript |
| All Author List |
Qian-Qian Meng, Ye Gao, Han Lin, Tian-Jiao Wang, Yan-Rong Zhang, Jian Feng, Zhao-Shen Li, Lei Xin and Luo-Wei Wang |
| Funding Agency and Grant Number |
| Funding Agency |
Grant Number |
| Changhai Hospital |
2019YXK006 |
| Shanghai Science and Technology Innovation Action Program |
21Y31900100 |
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| Corresponding Author |
Luo-Wei Wang, MD, Chief Doctor, Department of Gastroenterology, Changhai Hospital, No.168, Changhai road, Yangpu district, Shanghai 200433, China. wangluoweimd@126.com |
| Key Words |
Computer-aided diagnosis; Artificial intelligence; Deep learning; Esophageal squamous cell carcinoma; Early detection of cancer; Upper gastrointestinal endoscopy |
| Core Tip |
Esophageal squamous cell carcinoma (ESCC) poses a heavy burden to high-risk areas, and screening using upper gastrointestinal endoscopy is an established strategy for early detection and prognosis improvement. However, endoscopic detection of superficial-ESCC can be challenging and depends greatly on operator experience. We developed and validated a novel computer-assisted diagnostic system with a deep neural network algorithm to detect superficial ESCC using upper endoscopy with white-light and narrow-band imaging. The system demonstrated high diagnostic accuracy, which is comparable to that of expert endoscopists. The diagnostic performance of non-expert endoscopists was significantly improved under the assistance of this system. |
| Publish Date |
2022-09-29 10:42 |
| Citation |
Meng QQ, Gao Y, Lin H, Wang TJ, Zhang YR, Feng J, Li ZS, Xin L, Wang LW. Application of an artificial intelligence system for endoscopic diagnosis of superficial esophageal squamous cell carcinoma. World J Gastroenterol 2022; 28(37): 5483-5493 |
| URL |
https://www.wjgnet.com/1007-9327/full/v28/i37/5483.htm |
| DOI |
https://dx.doi.org/10.3748/wjg.v28.i37.5483 |
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