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Paper Abstract and Keywords
Presentation 2009-01-21 10:45
Fractal analysis and texture features of vascular networks observed in colonoscopy images as novel image classifiers for clinical metabolic syndrome
Tsung-Chun Lee (National Taiwan Univ.), Syu-Jyun Peng, Hsuan-Ting Chang (National Yunlin Univ. of Science & Tech), Jou-Wei Lin, Juey-Jen Hwang, Chien-Chiang Liu (National Taiwan Univ.) MI2008-161
Abstract (in Japanese) (See Japanese page) 
(in English) In the study, we aim to analyze the texture characteristics of colonic vascular networks observed on colonoscopy, in order to test and set up biomedical imaging markers for clinical metabolic syndrome. We retrospectively selected clear colonoscopic images from 30 clinical metabolic syndrome subjects and 30 healthy control subjects. Regions of interest containing vascular networks of major trunk and primary branches were adopted. White light reflection points were detected and eliminated. With the wavelet transform, the fractal dimensions in different subbands are determined. In addition, six more statistical features are combined with the fractal dimension in the support vector machine (SVM) to differentiate two different groups of subjects. Experimental results show that 93.94%-96.97% classification accuracy can be achieved when using the combination of the fractal dimension and other different statistical feature.
Keyword (in Japanese) (See Japanese page) 
(in English) fractal analysis / sedation colonoscopy / vascular network / metabolic syndrome / support vector machine / / /  
Reference Info. IEICE Tech. Rep., vol. 108, no. 385, MI2008-161, pp. 455-460, Jan. 2009.
Paper # MI2008-161 
Date of Issue 2009-01-12 (MI) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
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reproduction		 All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
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Conference Information
Committee MI  
Conference Date 2009-01-19 - 2009-01-21 
Place (in Japanese) (See Japanese page) 
Place (in English) National Taiwan University 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Medical Imaging 
Paper Information
Registration To MI 
Conference Code 2009-01-MI 
Language English 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Fractal analysis and texture features of vascular networks observed in colonoscopy images as novel image classifiers for clinical metabolic syndrome 
Sub Title (in English)  
Keyword(1) fractal analysis  
Keyword(2) sedation colonoscopy  
Keyword(3) vascular network  
Keyword(4) metabolic syndrome  
Keyword(5) support vector machine  
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1st Author's Name Tsung-Chun Lee  
1st Author's Affiliation National Taiwan University Hospital Yun-Lin Branch (National Taiwan Univ.)
2nd Author's Name Syu-Jyun Peng  
2nd Author's Affiliation National Yunlin University of Science & Technology (National Yunlin Univ. of Science & Tech)
3rd Author's Name Hsuan-Ting Chang  
3rd Author's Affiliation National Yunlin University of Science & Technology (National Yunlin Univ. of Science & Tech)
4th Author's Name Jou-Wei Lin  
4th Author's Affiliation National Taiwan University Hospital Yun-Lin Branch (National Taiwan Univ.)
5th Author's Name Juey-Jen Hwang  
5th Author's Affiliation National Taiwan University Hospital Yun-Lin Branch (National Taiwan Univ.)
6th Author's Name Chien-Chiang Liu  
6th Author's Affiliation National Taiwan University Hospital Yun-Lin Branch (National Taiwan Univ.)
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Speaker Author-2 
Date Time 2009-01-21 10:45:00 
Presentation Time 10 minutes 
Registration for MI 
Paper # MI2008-161 
Volume (vol) vol.108 
Number (no) no.385 
Page pp.455-460 
#Pages 6 
Date of Issue 2009-01-12 (MI) 

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