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Paper Abstract and Keywords
Presentation 2009-01-19 13:30
[Poster Presentation] Segmentation and Classification for fusion HCC Biopsy Images
Shou-Kuo Dai, Yen-Chih Wu (Chaoyang Univ. of Tech.), Yee-Jee Jan, Shu-Chuan Lin (Taichung Veterans General Hospital) MI2008-100
Abstract (in Japanese) (See Japanese page) 
(in English) The grading of pathological biopsy is very important in prognosis and treatment planning for hepatocellular carcinoma. Nevertheless, the grading results interpreted by pathologists are very subject to interobserver and intraobserver variability. Therefore, providing a quantitative analysis by machine vision is thus necessary. However, the cells on the biopsy are not all in the some depth of focus under the microscope. The small variances of depth focus cause some of cells in captured images to become a blur. These cells may not be segmented from image or segmented with error shape by the machine and thus affect the grading results. Consequently, 丬幺an all-in-focus image丬収 is very useful to the HCC grading performed by the machine. In this paper, we proposed an approach to fusion two images with different depth focus into one image, which contains much more in-depth focus cells. In our experiments, we demonstrate that the fusion images not only have clear appearance of cells but also provide higher accuracy of grading than original images.
Keyword (in Japanese) (See Japanese page) 
(in English) HCC biopsy image / fusion / grading / focus measure / / / /  
Reference Info. IEICE Tech. Rep., vol. 108, no. 385, MI2008-100, pp. 191-196, Jan. 2009.
Paper # MI2008-100 
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 MI2008-100

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) Segmentation and Classification for fusion HCC Biopsy Images 
Sub Title (in English)  
Keyword(1) HCC biopsy image  
Keyword(2) fusion  
Keyword(3) grading  
Keyword(4) focus measure  
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1st Author's Name Shou-Kuo Dai  
1st Author's Affiliation Chaoyang University of Technology (Chaoyang Univ. of Tech.)
2nd Author's Name Yen-Chih Wu  
2nd Author's Affiliation Chaoyang University of Technology (Chaoyang Univ. of Tech.)
3rd Author's Name Yee-Jee Jan  
3rd Author's Affiliation Taichung Veterans General Hospital (Taichung Veterans General Hospital)
4th Author's Name Shu-Chuan Lin  
4th Author's Affiliation Taichung Veterans General Hospital (Taichung Veterans General Hospital)
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Speaker Author-2 
Date Time 2009-01-19 13:30:00 
Presentation Time 210 minutes 
Registration for MI 
Paper # MI2008-100 
Volume (vol) vol.108 
Number (no) no.385 
Page pp.191-196 
#Pages 6 
Date of Issue 2009-01-12 (MI) 

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