BPG is committed to discovery and dissemination of knowledge
Articles Published Processes
11/4/2022 5:24:37 AM | Browse: 341 | Download: 1260
 |
Received |
|
2022-06-29 15:18 |
|
Peer-Review Started |
|
2022-06-29 15:21 |
 |
To Make the First Decision |
|
|
|
Return for Revision |
|
2022-08-19 22:23 |
|
Revised |
|
2022-08-31 15:45 |
|
Second Decision |
|
2022-10-19 03:50 |
|
Accepted by Journal Editor-in-Chief |
|
|
|
Accepted by Executive Editor-in-Chief |
|
2022-10-19 16:59 |
|
Articles in Press |
|
2022-10-19 16:59 |
|
Publication Fee Transferred |
|
|
|
Edit the Manuscript by Language Editor |
|
2022-10-11 12:29 |
|
Typeset the Manuscript |
|
2022-10-31 01:07 |
|
Publish the Manuscript Online |
|
2022-11-04 05:24 |
| 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
|
| 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 |
Retrospective Study |
| Article Title |
Enhanced segmentation of gastrointestinal polyps from capsule endoscopy images with artifacts using ensemble learning
|
| Manuscript Source |
Unsolicited Manuscript |
| All Author List |
Jun-Xiao Zhou, Zhan Yang, Ding-Hao Xi, Shou-Jun Dai, Zhi-Qiang Feng, Jun-Yan Li, Wei Xu and Hong Wang |
| ORCID |
|
| Funding Agency and Grant Number |
|
| Corresponding Author |
Hong Wang, MD, Chief Physician, Department of Gastroenterology and Hepatology, Guangzhou First People’s Hospital, No. 1 Panfu Road, Yuexiu District, Guangzhou 510180, Guangdong Province, China. wong.hong@163.com |
| Key Words |
Artifacts; Capsule endoscopy; Polyps; Ensemble learning; Segmentation; Robustness |
| Core Tip |
Artificial intelligence has been widely used in capsule endoscopy (CE) to detect gastrointestinal polyps; however, it is often impaired by artifacts in clinical practice. At present, clear and high-quality images without artifacts are usually selected for research, which has not yet produced practical assistance regarding artifact interference. In this study, we demonstrated that ensemble learning can improve the segmentation performance of polyps under the interference of artifacts, which has a significant auxiliary role in the detection of polyps in clinical practice. |
| Publish Date |
2022-11-04 05:24 |
| Citation |
Zhou JX, Yang Z, Xi DH, Dai SJ, Feng ZQ, Li JY, Xu W, Wang H. Enhanced segmentation of gastrointestinal polyps from capsule endoscopy images with artifacts using ensemble learning. World J Gastroenterol 2022; 28(41): 5931-5943 |
| URL |
https://www.wjgnet.com/1007-9327/full/v28/i41/5931.htm |
| DOI |
https://dx.doi.org/10.3748/wjg.v28.i41.5931 |
© 2004-2025 Baishideng Publishing Group Inc. All rights reserved. 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
California Corporate Number: 3537345
