| 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: https://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 |
Retrospective Study |
| Article Title |
Convolutional neural network-based segmentation network applied to image recognition of angiodysplasias lesion under capsule endoscopy
|
| Manuscript Source |
Invited Manuscript |
| All Author List |
Ye Chu, Fang Huang, Min Gao, Duo-Wu Zou, Jie Zhong, Wei Wu, Qi Wang, Xiao-Nan Shen, Ting-Ting Gong, Yuan-Yi Li and Li-Fu Wang |
| ORCID |
|
| Funding Agency and Grant Number |
| Funding Agency |
Grant Number |
| Chongqing Technological Innovation and Application Development Project, Key Technologies and Applications of Cross Media Analysis and Reasoning |
cstc2019jscx-zdztzxX0037 |
|
| Corresponding Author |
Li-Fu Wang, MD, PhD, Chief Physician, Professor, Department of Gastroenterology, Shanghai Jiao Tong University School of Medicine, Ruijin Hospital, No. 197 Ruijin Er Road, Shanghai 200025, China. lifuwang@sjtu.edu.cn |
| Key Words |
Artificial intelligence; Image segmentation; Capsule endoscopy; Angiodysplasias |
| Core Tip |
Small intestinal vascular malformation (vascular dysplasia) is a common cause of small intestinal bleeding. Herein, we proposed a semantic recognition segmentation network to recognize small intestinal vascular malformation lesions. This method can assist doctors in identifying lesions, improving the detection rate of intestinal vascular dysplasia, realizing automatic disease detection, and shortening the capsule endoscopy reading time. |
| Publish Date |
2023-02-06 12:22 |
| Citation |
Chu Y, Huang F, Gao M, Zou DW, Zhong J, Wu W, Wang Q, Shen XN, Gong TT, Li YY, Wang LF. Convolutional neural network-based segmentation network applied to image recognition of angiodysplasias lesion under capsule endoscopy. World J Gastroenterol 2023; 29(5): 879-889 |
| URL |
https://www.wjgnet.com/1007-9327/full/v29/i5/879.htm |
| DOI |
https://dx.doi.org/10.3748/wjg.v29.i5.879 |
