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Paper Abstract and Keywords
Presentation 2014-01-26 13:30
Computerized Quantification Method for Architectural Distortion on Breast Ultrasonographic Image and Its Application to the Histological Classification for Breast mass
Akiyoshi Hizukuri, Ryohei Nakayama, Yumi Kashikura, Haruhiko Takase, Hiroharu Kawanaka, Tomoko Ogawa, Shinji Tsuruoka (Mie Univ.) MI2013-73
Abstract (in Japanese) (See Japanese page) 
(in English) An architectural distortion is one of the important indications related to breast cancer on ultrasonographic images. It is difficult to determine whether a lesion with architectural distortion is malignant or benign because they are obscure. We developed a CAD scheme for histological classification of breast mass. However, the extraction method in our CAD scheme did not include the objective features for architectural distortion. By combining the objective features for architectural distortion with previous objective features, there would be a possibility that classification accuracy of our CAD scheme is improved. The purpose of this study was to develop a extraction method for architectural distortion and to develop a CAD scheme for determining histological classifications of breast masses using objective features for architectural distortion and previous objective features.
Keyword (in Japanese) (See Japanese page) 
(in English) architectural distortion / histological classification / breast ultrasonographic image / breast mass / computer-aided diagnosis(CAD) / / /  
Reference Info. IEICE Tech. Rep., vol. 113, no. 410, MI2013-73, pp. 91-95, Jan. 2014.
Paper # MI2013-73 
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) Computerized Quantification Method for Architectural Distortion on Breast Ultrasonographic Image and Its Application to the Histological Classification for Breast mass 
Sub Title (in English)  
Keyword(1) architectural distortion  
Keyword(2) histological classification  
Keyword(3) breast ultrasonographic image  
Keyword(4) breast mass  
Keyword(5) computer-aided diagnosis(CAD)  
Keyword(6)  
Keyword(7)  
Keyword(8)  
1st Author's Name Akiyoshi Hizukuri  
1st Author's Affiliation Mie University (Mie Univ.)
2nd Author's Name Ryohei Nakayama  
2nd Author's Affiliation Mie University (Mie Univ.)
3rd Author's Name Yumi Kashikura  
3rd Author's Affiliation Mie University (Mie Univ.)
4th Author's Name Haruhiko Takase  
4th Author's Affiliation Mie University (Mie Univ.)
5th Author's Name Hiroharu Kawanaka  
5th Author's Affiliation Mie University (Mie Univ.)
6th Author's Name Tomoko Ogawa  
6th Author's Affiliation Mie University (Mie Univ.)
7th Author's Name Shinji Tsuruoka  
7th Author's Affiliation Mie University (Mie Univ.)
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Speaker Author-1 
Date Time 2014-01-26 13:30:00 
Presentation Time 45 minutes 
Registration for MI 
Paper # MI2013-73 
Volume (vol) vol.113 
Number (no) no.410 
Page pp.91-95 
#Pages 5 
Date of Issue 2014-01-19 (MI) 

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