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Paper Abstract and Keywords
Presentation 2014-01-26 13:30
A method to extract fat drops from liver biopsy image using machine learning algorithm
Masahiro Ishikawa, Naoki Kobayashi, Hideki Komagata (Saitama Medical Univ.), Masahiro Yamaguchi (Tokyo Inst. of Tech.), Tokiya Abe, Akinori Hashiguchi, Michiie Sakamoto (Keio Univ.) MI2013-75
Abstract (in Japanese) (See Japanese page) 
(in English) In the diagnosis of hepatocellular carcinoma (HCC) in HE-stained liver pathological specimens, morphological features including cell nuclei and cellular arrangement are utilized. When quantifying these morphological features, existence of fat droplets becomes a problem. The regions in which fat droplets exist are whited out in the images, making it difficult to calculate the nuclear-cytoplasmic (N/C) ratio and structural information. In the present study, for the purpose of automatically detecting and excluding regions including many fat droplets, we have developed a method of extraction of fat droplets using the feature values of color information and arrangement of cell nuclei as well as shape information. We will report a method which accurately detects fat droplets using the proposed method and quantify the fat droplet ratio against the image.
Keyword (in Japanese) (See Japanese page) 
(in English) Hepatic histopathological tissue images / Extract of Fat drops / quantification / / / / /  
Reference Info. IEICE Tech. Rep., vol. 113, no. 410, MI2013-75, pp. 103-108, Jan. 2014.
Paper # MI2013-75 
Date of Issue 2014-01-19 (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)
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Conference Information
Committee MI  
Conference Date 2014-01-26 - 2014-01-27 
Place (in Japanese) (See Japanese page) 
Place (in English) Bunka Tenbusu Kan 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Computer Assisted Diagnosis and Therapy Based on Computational Anatomy, etc. 
Paper Information
Registration To MI 
Conference Code 2014-01-MI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A method to extract fat drops from liver biopsy image using machine learning algorithm 
Sub Title (in English)  
Keyword(1) Hepatic histopathological tissue images  
Keyword(2) Extract of Fat drops  
Keyword(3) quantification  
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1st Author's Name Masahiro Ishikawa  
1st Author's Affiliation Saitama Medical Univeristy (Saitama Medical Univ.)
2nd Author's Name Naoki Kobayashi  
2nd Author's Affiliation Saitama Medical Univeristy (Saitama Medical Univ.)
3rd Author's Name Hideki Komagata  
3rd Author's Affiliation Saitama Medical Univeristy (Saitama Medical Univ.)
4th Author's Name Masahiro Yamaguchi  
4th Author's Affiliation Tokyo Institute of Technology (Tokyo Inst. of Tech.)
5th Author's Name Tokiya Abe  
5th Author's Affiliation Keio University (Keio Univ.)
6th Author's Name Akinori Hashiguchi  
6th Author's Affiliation Keio University (Keio Univ.)
7th Author's Name Michiie Sakamoto  
7th Author's Affiliation Keio University (Keio Univ.)
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Speaker Author-1 
Date Time 2014-01-26 13:30:00 
Presentation Time 45 minutes 
Registration for MI 
Paper # MI2013-75 
Volume (vol) vol.113 
Number (no) no.410 
Page pp.103-108 
#Pages 6 
Date of Issue 2014-01-19 (MI) 

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