Publication Name	World Journal of Gastroenterology
Manuscript ID	28764
Country	Greece

Received	2016-07-14 08:53
Peer-Review Started	2016-07-16 19:34
To Make the First Decision	2016-08-19 15:07
Return for Revision	2016-08-23 10:13
Revised	2016-09-02 17:30
Second Decision	2016-09-09 17:45
Accepted by Journal Editor-in-Chief	2016-09-09 17:59
Accepted by Executive Editor-in-Chief	2016-09-14 13:10
Articles in Press	2016-09-14 13:10
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript	2016-10-17 11:17
Publish the Manuscript Online	2016-10-20 17:06

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	Engineering, Biomedical
Manuscript Type	Diagnostic Advances
Article Title	Potential of hybrid adaptive filtering in inflammatory lesion detection from capsule endoscopy images
Manuscript Source	Invited Manuscript
All Author List	Vasileios S Charisis and Leontios J Hadjileontiadis
Funding Agency and Grant Number
Corresponding Author	Leontios J Hadjileontiadis, PhD, Professor, Composer/Musicologist, Director of the Signal Processing and Biomedical Technology Unit (SPBTU), Department of Electrical and Computer Engineering, Aristotle University of Thessaloniki, University Campus, Build. D, 6th floor, GR54124 Thessaloniki, Greece. leontios@auth.gr
Key Words	Capsule endoscopy; Curvelet; Ulcer; Genetic algorithms; Crohn’s disease
Core Tip	This paper presents a novel procedure to analyze wireless capsule endoscopy (WCE) images and extract features towards the automatic detection of Crohn’s disease-based lesions. In this direction, a hybrid adaptive filtering process is proposed that aims to refine the WCE images, prior to feature extraction, by selecting via a genetic algorithm approach the most informative curvelet-based components of the images. Then, differential lacunarity is employed for extracting color-texture features in YCbCr color space. The experimental results showed that the proposed WCE image analysis scheme is robust and outperforms related approaches of the literature, mainly in the case of mild lesions detection.
Publish Date	2016-10-20 17:06
Citation	Charisis VS, Hadjileontiadis LJ. Potential of hybrid adaptive filtering in inflammatory lesion detection from capsule endoscopy images. World J Gastroenterol 2016; 22(39): 8641-8657
URL	http://www.wjgnet.com/1007-9327/full/v22/i39/8641.htm
DOI	http://dx.doi.org/10.3748/wjg.v22.i39.8641

Full Article (PDF)	WJG-22-8641.pdf
Full Article (Word)	WJG-22-8641.doc
Manuscript File	28764-Review.docx
Answering Reviewers	28764-Answering reviewers.pdf
Audio Core Tip	28764-Audio core tip.mp3
Conflict-of-Interest Disclosure Form	28764-Conflict-of-interest statement.pdf
Copyright License Agreement	28764-Copyright assignment.pdf
Non-Native Speakers of English Editing Certificate	28764-Language certificate.pdf
Peer-review Report	28764-Peer-review(s).pdf
Scientific Editor Work List	28764-Scientific editor work list.pdf