BPG is committed to discovery and dissemination of knowledge
Articles Published Processes
7/6/2021 9:59:54 AM | Browse: 524 | Download: 1059
 |
Received |
|
2021-04-27 06:14 |
|
Peer-Review Started |
|
2021-04-27 06:15 |
 |
To Make the First Decision |
|
|
|
Return for Revision |
|
2021-04-28 21:50 |
|
Revised |
|
2021-05-21 13:02 |
|
Second Decision |
|
2021-06-07 12:28 |
|
Accepted by Journal Editor-in-Chief |
|
|
|
Accepted by Executive Editor-in-Chief |
|
2021-06-07 13:25 |
|
Articles in Press |
|
2021-06-07 13:25 |
|
Publication Fee Transferred |
|
|
|
Edit the Manuscript by Language Editor |
|
2021-06-16 03:27 |
|
Typeset the Manuscript |
|
2021-06-25 07:34 |
|
Publish the Manuscript Online |
|
2021-07-06 09:59 |
| ISSN |
2689-7164 (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
|
| Permissions |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
|
| 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 |
Application of a convolutional neural network in detecting and classifying gastric cancer
|
| Manuscript Source |
Invited Manuscript |
| All Author List |
Xin-Yi Feng, Xi Xu, Yun Zhang, Ye-Min Xu, Qiang She and Bin Deng |
| ORCID |
|
| Funding Agency and Grant Number |
| Funding Agency |
Grant Number |
| The Key Project for Social development of Yangzhou |
YZ2020069 |
|
| Corresponding Author |
Bin Deng, MD, Associate Professor, Chief Physician, Department of Gastroenterology, Affiliated Hospital of Yangzhou University, No. 368 Hanjiang Middle Road, Yangzhou 225000, Jiangsu Province, China. chinadbin@126.com |
| Key Words |
Artificial intelligence; Convolutional neural network; Endoscopy; Gastric cancer; Deep learning |
| Core Tip |
With the development of new algorithms and big data, great achievements of artificial intelligence (AI) based on deep learning have been made in diagnostic imaging, especially convolutional neural network (CNN). Esophagogastroduodenoscopy (EGD) is currently the most common method for screening and diagnosing gastric cancer (GC). When AI was combined with EGD, the diagnostic efficacy of GC could be improved. Therefore, we review the application and prospect of CNN in detecting and classifying GC, aiming to introduce a computer-aided diagnosis system and provide evidences for following researches. |
| Publish Date |
2021-07-06 09:59 |
| Citation |
Feng XY, Xu X, Zhang Y, Xu YM, She Q, Deng B. Application of a convolutional neural network in detecting and classifying gastric cancer. Artif Intell Gastrointest Endosc 2021; 2(3): 71-78 |
| URL |
https://www.wjgnet.com/2689-7164/full/v2/i3/71.htm |
| DOI |
https://dx.doi.org/10.37126/aige.v2.i3.71 |
© 2004-2025 Baishideng Publishing Group Inc. All rights reserved. 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
California Corporate Number: 3537345
