Publication Name	World Journal of Gastroenterology
Manuscript ID	25587
Country	Germany

Received	2016-03-15 17:29
Peer-Review Started	2016-03-18 18:12
To Make the First Decision	2016-03-31 09:52
Return for Revision	2016-04-01 14:46
Revised	2016-04-28 15:19
Second Decision	2016-05-06 17:35
Accepted by Journal Editor-in-Chief	2016-05-06 20:04
Accepted by Company Editor-in-Chief	2016-05-23 16:20
Articles in Press	2016-05-23 16:20
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript	2016-08-04 08:40
Publish the Manuscript Online	2016-08-15 10:30

ISSN	1007-9327 (print) and 2219-2840 (online)
Open Access	This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (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) 2016. Published by Baishideng Publishing Group Inc. All rights reserved.
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Category	Gastroenterology & Hepatology
Manuscript Type	Basic Study
Article Title	Computer-aided texture analysis combined with experts' knowledge: Improving endoscopic celiac disease diagnosis
Manuscript Source	Unsolicited Manuscript
All Author List	Michael Gadermayr, Hubert Kogler, Maximilian Karla, Dorit Merhof, Andreas Uhl and Andreas Vécsei
Funding Agency and Grant Number	Funding Agency Grant Number Austrian Science Fund (FWF) KLI 429-B13
Corresponding Author	Michael Gadermayr, PhD, Institute of Imaging and Computer Vision, RWTH Aachen University, Kopernikusstraße 16, D-52074 Aachen, Germany. michael.gadermayr@lfb.rwth-aachen.de
Key Words	celiac disease; diagnosis; endoscopy; computer-aided texture analysis; biopsy; pattern recognition
Core Tip	A hybrid system for the detection of villous atrophy integrating human texture recognition into computer-aided diagnosis systems outperforms human judgement alone in the diagnosis of pediatric celiac disease. In the classification of 2835 endoscopic images from the duodenum into one of two categories (“normal mucosa or villous atrophy”) using 27 different classification settings the hybrid system was superior to human experts in 24 settings. This superiority was significant in 17 of these 24 settings. Less experienced endoscopists in particular can benefit from this new method because their diagnostic accuracy can be improved the most.
Publish Date	2016-08-15 10:30
Citation	Gadermayr M, Kogler H, Karla M, Merhof D, Uhl A, Vécsei A. Computer-aided texture analysis combined with experts’ knowledge: Improving endoscopic celiac disease diagnosis. World J Gastroenterol 2016; 22(31): 7124-7134
URL	http://www.wjgnet.com/1007-9327/full/v22/i31/7124.htm
DOI	http://dx.doi.org/10.3748/wjg.v22.i31.7124

Full Article (PDF)	WJG-22-7124.pdf
Full Article (Word)	WJG-22-7124.doc
Manuscript File	25587-Review.docx
Answering Reviewers	25587-Answering reviewers.pdf
Audio Core Tip	25587-Audio core tip.mp3
Biostatistics Review Certificate	25587-Biostatistics statement.pdf
Conflict-of-Interest Disclosure Form	25587-Conflict-of-interest statement.pdf
Copyright License Agreement	25587-Copyright assignment.pdf
Approved Grant Application Form(s) or Funding Agency Copy of any Approval Document(s)	25587-Grant application form(s).pdf
Institutional Review Board Approval Form or Document	25587-Institutional review board statement.pdf
Non-Native Speakers of English Editing Certificate	25587-Language certificate.pdf
Peer-review Report	25587-Peer-review(s).pdf
Journal Editor-in-Chief Review Report	25587-Journal editor-in-chief review report.pdf
Scientific Misconduct Check	25587-Scientific misconduct check.pdf
Scientific Editor Work List	25587-Scientific editor work list.pdf