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Paper Abstract and Keywords
Presentation 2012-07-20 11:00
Preliminary study for undersampling non-lesion voxel in training of voxel-based classification for lesion detection
Yukihiro Nomura, Mitsutaka Nemoto, Yoshitaka Masutani, Shouhei Hanaoka, Soichiro Miki, Takeharu Yoshikawa, Naoto Hayashi, Kuni Ohtomo (The Univ. of Tokyo) MI2012-32
Abstract (in Japanese) (See Japanese page) 
(in English) In voxel-based classification for lesion detection, training of a classifier is time-consuming since the number of training voxels is huge. Moreover, the number of non-lesion voxels is extremely larger than that of lesion voxels. So, it is important to reduce the number of non-lesion voxels for training. In this short report, we investigated relation between undersampling non-lesion voxels in training of voxel based classifier and detection accuracy by using cerebral aneurysm detection in MR angiograms. In the experimental study, it is desirable to train the classifier using all cases/voxels, but undersampling non-lesion voxels have potential to effective when time required for training is time-consuming or the number of training sample is excessive.
Keyword (in Japanese) (See Japanese page) 
(in English) computer-assisted detection (CAD) / voxel-based classifier / undersampling / / / / /  
Reference Info. IEICE Tech. Rep., vol. 112, no. 142, MI2012-32, pp. 59-64, July 2012.
Paper # MI2012-32 
Date of Issue 2012-07-12 (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)
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Conference Information
Committee MI  
Conference Date 2012-07-19 - 2012-07-20 
Place (in Japanese) (See Japanese page) 
Place (in English) Yamagata Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) New paradigm of brain function measurement 
Paper Information
Registration To MI 
Conference Code 2012-07-MI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Preliminary study for undersampling non-lesion voxel in training of voxel-based classification for lesion detection 
Sub Title (in English)  
Keyword(1) computer-assisted detection (CAD)  
Keyword(2) voxel-based classifier  
Keyword(3) undersampling  
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1st Author's Name Yukihiro Nomura  
1st Author's Affiliation The University of Tokyo (The Univ. of Tokyo)
2nd Author's Name Mitsutaka Nemoto  
2nd Author's Affiliation The University of Tokyo (The Univ. of Tokyo)
3rd Author's Name Yoshitaka Masutani  
3rd Author's Affiliation The University of Tokyo (The Univ. of Tokyo)
4th Author's Name Shouhei Hanaoka  
4th Author's Affiliation The University of Tokyo (The Univ. of Tokyo)
5th Author's Name Soichiro Miki  
5th Author's Affiliation The University of Tokyo (The Univ. of Tokyo)
6th Author's Name Takeharu Yoshikawa  
6th Author's Affiliation The University of Tokyo (The Univ. of Tokyo)
7th Author's Name Naoto Hayashi  
7th Author's Affiliation The University of Tokyo (The Univ. of Tokyo)
8th Author's Name Kuni Ohtomo  
8th Author's Affiliation The University of Tokyo (The Univ. of Tokyo)
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Speaker Author-1 
Date Time 2012-07-20 11:00:00 
Presentation Time 30 minutes 
Registration for MI 
Paper # MI2012-32 
Volume (vol) vol.112 
Number (no) no.142 
Page pp.59-64 
#Pages 6 
Date of Issue 2012-07-12 (MI) 

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