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Paper Abstract and Keywords
Presentation 2014-09-02 10:45
A Study on Preprocessing for Organ Region Segmentation -- Application of superpixels and of saliency detection --
Yushi Deura, Naoki Kawamura, Mitsunori Yamada, Hidekata Hontani (Nagoya Inst. of Tech.) MI2014-36
Abstract (in Japanese) (See Japanese page) 
(in English) In this study, the authors study preprocessing for segmenting organ
regions in medical images. Many researches of organ region
segmentations focus on improving representation abilities of
statistical models and/or inference abilities on the models. These
researches improved segmentation performance, but there exist some
rooms for improving preprocessing for the segmentation. In this
article, the authors investigate the role of the preprocessing in the
image segmentation: How much information can we obtain from medical
images without using statistical shape models of organs? Which organs
of bodies seriously require the statistical shape models for being
segmented? For the investigation, the authors compute super-voxels of
given images and describe the structures of those super-voxels by
classifying each voxel based on its image features and by computing
saliency mapping. The methods are explained in this manuscript and the
experimental results will be shown later.
Keyword (in Japanese) (See Japanese page) 
(in English) Organ Region Segmentation / structured / dense SIFT / super voxel / Saliency map / / /  
Reference Info. IEICE Tech. Rep., vol. 114, no. 200, MI2014-36, pp. 7-11, Sept. 2014.
Paper # MI2014-36 
Date of Issue 2014-08-26 (MI) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
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 MI2014-36

Conference Information
Committee MI  
Conference Date 2014-09-02 - 2014-09-02 
Place (in Japanese) (See Japanese page) 
Place (in English) The Institute of Statistical Mathematics 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Statistical mathematical approaches in medical image analysis 
Paper Information
Registration To MI 
Conference Code 2014-09-MI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Study on Preprocessing for Organ Region Segmentation 
Sub Title (in English) Application of superpixels and of saliency detection 
Keyword(1) Organ Region Segmentation  
Keyword(2) structured  
Keyword(3) dense SIFT  
Keyword(4) super voxel  
Keyword(5) Saliency map  
1st Author's Name Yushi Deura  
1st Author's Affiliation Nagoya Institute of Technology (Nagoya Inst. of Tech.)
2nd Author's Name Naoki Kawamura  
2nd Author's Affiliation Nagoya Institute of Technology (Nagoya Inst. of Tech.)
3rd Author's Name Mitsunori Yamada  
3rd Author's Affiliation Nagoya Institute of Technology (Nagoya Inst. of Tech.)
4th Author's Name Hidekata Hontani  
4th Author's Affiliation Nagoya Institute of Technology (Nagoya Inst. of Tech.)
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Speaker Author-1 
Date Time 2014-09-02 10:45:00 
Presentation Time 30 minutes 
Registration for MI 
Paper # MI2014-36 
Volume (vol) vol.114 
Number (no) no.200 
Page pp.7-11 
Date of Issue 2014-08-26 (MI) 

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