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Articles Published Processes
10/29/2021 12:16:53 PM | Browse: 505 | Download: 947
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Received |
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2021-06-15 11:51 |
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Peer-Review Started |
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2021-06-15 11:51 |
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To Make the First Decision |
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Return for Revision |
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2021-07-15 09:28 |
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Revised |
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2021-07-26 03:19 |
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Second Decision |
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2021-08-13 02:54 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Executive Editor-in-Chief |
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2021-08-13 05:24 |
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Articles in Press |
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2021-08-13 05:24 |
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Publication Fee Transferred |
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Edit the Manuscript by Language Editor |
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2021-08-23 03:44 |
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Typeset the Manuscript |
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2021-10-25 00:22 |
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Publish the Manuscript Online |
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2021-10-29 12:16 |
| ISSN |
2307-8960 (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 |
Oncology |
| Manuscript Type |
Minireviews |
| Article Title |
Deep learning driven colorectal lesion detection in gastrointestinal endoscopic and pathological imaging
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| Manuscript Source |
Unsolicited Manuscript |
| All Author List |
Yu-Wen Cai, Fang-Fen Dong, Yu-Heng Shi, Li-Yuan Lu, Chen Chen, Ping Lin, Yu-Shan Xue, Jian-Hua Chen, Su-Yu Chen and Xiong-Biao Luo |
| ORCID |
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| Funding Agency and Grant Number |
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| Corresponding Author |
Su-Yu Chen, PhD, Academic Fellow, Chief Doctor, Department of Gastrointestinal Endoscopy, Fujian Cancer Hospital, Fujian Medical University Cancer Hospital, No. 420 Fuma Road, Jin'an District, Fuzhou 350014, Fujian Province, China. endosuyuchen@163.com |
| Key Words |
Deep learning; Artificial intelligence; Image analysis; Endoscopic; Colorectal lesions; Colorectal cancer |
| Core Tip |
The development of computer has promoted the progress of medical treatment. Artificial intelligence (AI) has been gradually applied in the medical field and achieved good results. The detection of colorectal lesions in the conventional gastrointestinal endoscopy is difficult, the diagnosis time is long, and there is often the problem of missed diagnosis and misdiagnosis. AI computer is a good aid for doctors. Through this review, we summarize the application of AI in the detection of colorectal lesions in recent years, in order to provide reference for the follow-up development and research. |
| Publish Date |
2021-10-29 12:16 |
| Citation |
Cai YW, Dong FF, Shi YH, Lu LY, Chen C, Lin P, Xue YS, Chen JH, Chen SY, Luo XB. Deep learning driven colorectal lesion detection in gastrointestinal endoscopic and pathological imaging. World J Clin Cases 2021; 9(31): 9376-9385 |
| URL |
https://www.wjgnet.com/2307-8960/full/v9/i31/9376.htm |
| DOI |
https://dx.doi.org/10.12998/wjcc.v9.i31.9376 |
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