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Articles Published Processes
11/15/2023 1:46:53 PM | Browse: 168 | Download: 693
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Received |
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2023-08-01 15:59 |
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Peer-Review Started |
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2023-08-01 16:02 |
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To Make the First Decision |
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Return for Revision |
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2023-08-22 22:50 |
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Revised |
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2023-09-05 20:12 |
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Second Decision |
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2023-10-11 01:11 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Executive Editor-in-Chief |
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2023-10-11 06:16 |
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Articles in Press |
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2023-10-11 06:16 |
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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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2023-11-06 09:56 |
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Publish the Manuscript Online |
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2023-11-15 13:46 |
| ISSN |
1948-5204 (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) 2023. 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 |
Meta-Analysis |
| Article Title |
Application of convolutional neural network-based endoscopic imaging in esophageal cancer or high-grade dysplasia: A systematic review and meta-analysis
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| Manuscript Source |
Unsolicited Manuscript |
| All Author List |
Jun-Qi Zhang, Jun-Jie Mi and Rong Wang |
| ORCID |
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| Funding Agency and Grant Number |
| Funding Agency |
Grant Number |
| Special Program for Science and Technology Cooperation and Exchange of Shanxi |
202104041101034 |
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| Corresponding Author |
Rong Wang, MM, Chief Physician, Professor, Department of Gastroenterology, The Fifth Hospital of Shanxi Medical University (Shanxi Provincial People’s Hospital), No. 29 Shuangta West Street, Taiyuan 030012, Shanxi Province, China. wangxiongzai@126.com |
| Key Words |
Esophageal cancer; High-grade dysplasia; Convolutional neural network; Deep learning; Systematic review; Meta-analysis |
| Core Tip |
This systematic review provides a meta-analysis of 28 studies evaluating the accuracy of convolutional neural network (CNN) models for diagnosing esophageal cancer and high-grade dysplasia, and for predicting the invasion depth of esophageal cancer. It also establishes a theoretical foundation for the clinical application of CNN models. Based on this meta-analysis, CNN-based image analysis may have great potential for diagnosing and estimating the prognosis of esophageal cancer, though further study is needed. |
| Publish Date |
2023-11-15 13:46 |
| Citation |
Zhang JQ, Mi JJ, Wang R. Application of convolutional neural network-based endoscopic imaging in esophageal cancer or high-grade dysplasia: A systematic review and meta-analysis. World J Gastrointest Oncol 2023; 15(11): 1998-2016 |
| URL |
https://www.wjgnet.com/1948-5204/full/v15/i11/1998.htm |
| DOI |
https://dx.doi.org/10.4251/wjgo.v15.i11.1998 |
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