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5/16/2022 10:48:15 AM | Browse: 279 | Download: 969
Publication Name World Journal of Gastrointestinal Endoscopy
Manuscript ID 68137
Country Brazil
Received
2021-05-13 01:23
Peer-Review Started
2021-05-13 01:25
To Make the First Decision
Return for Revision
2021-07-04 12:38
Revised
2021-07-15 22:20
Second Decision
2022-04-26 02:19
Accepted by Journal Editor-in-Chief
Accepted by Company Editor-in-Chief
2022-04-26 21:59
Articles in Press
2022-04-26 21:59
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript
2022-05-10 01:17
Publish the Manuscript Online
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
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 Recognition of esophagitis in endoscopic images using transfer learning
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
Author(s) ORCID Number
Elena Caires Silveira http://orcid.org/0000-0003-3470-9205
Caio Fellipe Santos Corrêa http://orcid.org/0000-0002-5271-6911
Leonardo Madureira Silva http://orcid.org/0000-0002-6444-8264
Bruna Almeida Santos http://orcid.org/0000-0002-4543-3163
Soraya Mattos Pretti http://orcid.org/0000-0002-9835-7635
Fabrício Freire de Melo http://orcid.org/0000-0002-5680-2753
Funding Agency and Grant Number
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
Full Article (PDF) WJGE-14-311.pdf
Full Article (Word) WJGE-14-311.docx
Manuscript File 68137_Auto_Edited.docx
Answering Reviewers 68137-Answering reviewers.pdf
Audio Core Tip 68137-Audio core tip.m4a
Biostatistics Review Certificate 68137-Biostatistics statement.pdf
Conflict-of-Interest Disclosure Form 68137-Conflict-of-interest statement.pdf
Copyright License Agreement 68137-Copyright license agreement.pdf
Signed Informed Consent Form(s) or Document(s) 68137-Informed consent statement.pdf
Institutional Review Board Approval Form or Document 68137-Institutional review board statement.pdf
Non-Native Speakers of English Editing Certificate 68137-Language certificate.pdf
Supplementary Material 68137-Copyright permission.pdf
Peer-review Report 68137-Peer-review(s).pdf
Scientific Misconduct Check 68137-Bing-Gao CC-2.png
Scientific Editor Work List 68137-Scientific editor work list.pdf