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10/20/2016 5:06:00 PM | Browse: 1044 | Download: 1310
Publication Name World Journal of Gastroenterology
Manuscript ID 28764
Country/Territory 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 Company 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.
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 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