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Paper Abstract and Keywords
Presentation 2013-01-25 13:10
A pilot study of lung voxel classification for auto-detecting ground glass opacity nodules in chest CT images
Mitsutaka Nemoto, Yoshitaka Masutani, Shouhei Hanaoka, Yukihiro Nomura, Soichiro Miki, Takeharu Yoshikawa, Naoto Hayashi, Kuni Ohtomo (Univ. Tokyo) MI2012-109
Abstract (in Japanese) (See Japanese page) 
(in English) In this study, we examine various voxel classification methods for auto-extracting ground glass opacity (GGO) nodule candidates. Classifiers evaluating experimentally are two types of one-class classifier (threshold functions of a Mahalanobis distance and a norm of residue by embedding in a manifold trained by Isomap), and two kinds of two-class classifier (a threshold function of Mahalanobis distance ratio and a classifier ensemble trained by AdaBoost). In addition to evaluate the classifiers individually, four cascade classifiers each of which are combination of an initial rejection by the one-class classifier and a following classification by the two-class classifier are also validated experimentally. The evaluation results show the cascade classifier has a potential for providing the voxel classification results to extract GGO nodule candidates with high performance.
Keyword (in Japanese) (See Japanese page) 
(in English) Chest CT / ground glass opacity (GGO) nodule / computer aided detection (CAD / classifier / cascade / / /  
Reference Info. IEICE Tech. Rep., vol. 112, no. 411, MI2012-109, pp. 245-248, Jan. 2013.
Paper # MI2012-109 
Date of Issue 2013-01-17 (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. (No. 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
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Conference Information
Committee MI  
Conference Date 2013-01-24 - 2013-01-25 
Place (in Japanese) (See Japanese page) 
Place (in English) Bunka Tenbusu Kan 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Computational anatomy and its application to computer assisted diagnosis and therapy, etc 
Paper Information
Registration To MI 
Conference Code 2013-01-MI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A pilot study of lung voxel classification for auto-detecting ground glass opacity nodules in chest CT images 
Sub Title (in English)  
Keyword(1) Chest CT  
Keyword(2) ground glass opacity (GGO) nodule  
Keyword(3) computer aided detection (CAD  
Keyword(4) classifier  
Keyword(5) cascade  
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Keyword(7)  
Keyword(8)  
1st Author's Name Mitsutaka Nemoto  
1st Author's Affiliation The University of Tokyo (Univ. Tokyo)
2nd Author's Name Yoshitaka Masutani  
2nd Author's Affiliation The University of Tokyo (Univ. Tokyo)
3rd Author's Name Shouhei Hanaoka  
3rd Author's Affiliation The University of Tokyo (Univ. Tokyo)
4th Author's Name Yukihiro Nomura  
4th Author's Affiliation The University of Tokyo (Univ. Tokyo)
5th Author's Name Soichiro Miki  
5th Author's Affiliation The University of Tokyo (Univ. Tokyo)
6th Author's Name Takeharu Yoshikawa  
6th Author's Affiliation The University of Tokyo (Univ. Tokyo)
7th Author's Name Naoto Hayashi  
7th Author's Affiliation The University of Tokyo (Univ. Tokyo)
8th Author's Name Kuni Ohtomo  
8th Author's Affiliation The University of Tokyo (Univ. Tokyo)
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Speaker
Date Time 2013-01-25 13:10:00 
Presentation Time 20 
Registration for MI 
Paper # IEICE-MI2012-109 
Volume (vol) IEICE-112 
Number (no) no.411 
Page pp.245-248 
#Pages IEICE-4 
Date of Issue IEICE-MI-2013-01-17 


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