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Articles Published Processes
5/16/2022 10:48:15 AM | Browse: 441 | Download: 1427
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Received |
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2021-05-13 01:23 |
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Peer-Review Started |
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2021-05-13 01:25 |
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To Make the First Decision |
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Return for Revision |
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2021-07-04 12:38 |
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Revised |
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2021-07-15 22:20 |
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Second Decision |
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2022-04-26 02:19 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Executive Editor-in-Chief |
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2022-04-26 21:59 |
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Articles in Press |
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2022-04-26 21:59 |
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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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2022-05-10 01:17 |
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Publish the Manuscript Online |
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2022-05-16 10:48 |
| ISSN |
1948-5190 (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) 2022. 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 |
Recognition of esophagitis in endoscopic images using transfer learning
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| Manuscript Source |
Unsolicited Manuscript |
| All Author List |
Elena Caires Silveira, Caio Fellipe Santos Corrêa, Leonardo Madureira Silva, Bruna Almeida Santos, Soraya Mattos Pretti and Fabrício Freire de Melo |
| ORCID |
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| Funding Agency and Grant Number |
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| Corresponding Author |
Fabrício Freire de Melo, PhD, Professor, Multidisciplinary Institute of Health, Federal University of Bahia, Hormindo Barros Street, 58, Candeias, Vitória da Conquista 45029-094, Bahia, Brazil. freiremelo@yahoo.com.br |
| Key Words |
Esophagitis; Endoscopy; Artificial intelligence; Deep learning; Transfer learning |
| Core Tip |
Considering the clinical relevance of esophagitis, we proposed a deep learning model for its diagnosis from endoscopic images of the Z-line, via binary classification of the images according to the presence or absence of esophageal inflammation signs. The excellent accuracy and area under the receiver operating characteristic curve achieved demonstrate the potential of the adopted strategy, consisting of the conjunction of densely connected neural networks and transfer learning. With this, we contribute to the improvement and methodological advancement in the development of automated diagnostic tools for the disease, which reveal great potential in optimizing the management of these patients. |
| Publish Date |
2022-05-16 10:48 |
| Citation |
Caires Silveira E, Santos Corrêa CF, Madureira Silva L, Almeida Santos B, Mattos Pretti S, Freire de Melo F. Recognition of esophagitis in endoscopic images using transfer learning. World J Gastrointest Endosc 2022; 14(5): 311-319 |
| URL |
https://www.wjgnet.com/1948-5190/full/v14/i5/311.htm |
| DOI |
https://dx.doi.org/10.4253/wjge.v14.i5.311 |
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