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Paper Abstract and Keywords
Presentation 2009-01-21 09:50
[Poster Presentation] Computer-aided Classification of HEp-2 Cell in Indirect Immuno-fluorescence Images
Yu-Lang Jao, Chen-Chang Han (Tunghai Univ.), Tsu-Yi Hsieh (Taichung Veterans General Hospital), Yu-Len Huang (Tunghai Univ.) MI2008-176
Abstract (in Japanese) (See Japanese page) 
(in English) Indirect immuno-fluorescence (IIF) with HEp-2 cells has been used to detect antinuclear auto-antibodies (ANA) for diagnosing systemic autoimmune diseases. The aim of this study is to develop an automatic scheme to identify the fluorescence pattern of HEp-2 cell in the IIF images. By using the previously proposed adaptive edge-based segmentation method to contour each fluorescence cell, the proposed classification method utilized decision tree model with five textural features to identify the fluorescence pattern. This study evaluated 600 autoantibody fluorescence patterns from IIF images that were divided into six pattern categories (including diffuse, peripheral, coarse speckled, fine speckled, discrete speckled and nucleolar patterns). The simulations show that the proposed system differentiates autoantibody fluorescence patterns with a good result and is therefore clinically useful to provide a second opinion.
Keyword (in Japanese) (See Japanese page) 
(in English) Antinuclear auto-antibodies / Indirect immuno-fluorescence / Pattern classification / Decision tree model / Image segmentation / / /  
Reference Info. IEICE Tech. Rep., vol. 108, no. 385, MI2008-176, pp. 527-530, Jan. 2009.
Paper # MI2008-176 
Date of Issue 2009-01-12 (MI) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
and
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)
Download PDF MI2008-176

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) Computer-aided Classification of HEp-2 Cell in Indirect Immuno-fluorescence Images 
Sub Title (in English)  
Keyword(1) Antinuclear auto-antibodies  
Keyword(2) Indirect immuno-fluorescence  
Keyword(3) Pattern classification  
Keyword(4) Decision tree model  
Keyword(5) Image segmentation  
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Keyword(7)  
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1st Author's Name Yu-Lang Jao  
1st Author's Affiliation Tunghai University (Tunghai Univ.)
2nd Author's Name Chen-Chang Han  
2nd Author's Affiliation Tunghai University (Tunghai Univ.)
3rd Author's Name Tsu-Yi Hsieh  
3rd Author's Affiliation Taichung Veterans General Hospital (Taichung Veterans General Hospital)
4th Author's Name Yu-Len Huang  
4th Author's Affiliation Tunghai University (Tunghai Univ.)
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Speaker Author-2 
Date Time 2009-01-21 09:50:00 
Presentation Time 140 minutes 
Registration for MI 
Paper # MI2008-176 
Volume (vol) vol.108 
Number (no) no.385 
Page pp.527-530 
#Pages 4 
Date of Issue 2009-01-12 (MI) 

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