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Paper Abstract and Keywords
Presentation 2018-03-20 10:30
A preliminary study on organ region localization using regression CNN
Natsuki Shimizu, Masahiro Oda, Holger R. Roth, Yuichiro Hayashi (Nagoya Univ.), Kazunari Misawa (Aichi Cancer Center Hospital), Michitaka Fujiwara, Kensaku Mori (Nagoya Univ.) MI2017-89
Abstract (in Japanese) (See Japanese page) 
(in English) Recently, three dimensional CT volumes are widely used in treatment and diagnosis. Development of a computer-aided diagnosis (CAD) system that supports medical doctor's diagnosis is greatly expected. CAD systems need accurate automatic organ recognition from CT volumes. In this study, we propose a method for organ region localization using a CNN regression framework. CNN enables us to estimate position based on automatically designed feature values. 2D patches are clipped from CT volumes on axial, coronal, sagittal planes and combined to generate a patch. Offsets from the center of cropped patches to the bounding box is calculated as target values.
Patches are given to CNN and differences between output values and the offsets is used as a loss. Weights of the network is determined to minimize the loss. Experiments were performed on 147 CT volumes and evaluated using the two-fold cross-validation method. Experimental results demonstrated that the mean errors of bounding box estimation of the proposed method was 9.2 mm.
Keyword (in Japanese) (See Japanese page) 
(in English) CT volume / localization / deep learning / / / / /  
Reference Info. IEICE Tech. Rep., vol. 117, no. 518, MI2017-89, pp. 81-86, March 2018.
Paper # MI2017-89 
Date of Issue 2018-03-12 (MI) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
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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 SIP EA SP MI  
Conference Date 2018-03-19 - 2018-03-20 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English) Speech, Engineering/Electro Acoustics, Signal Processing, and Related Topics [SIP, EA, SP]/ Medical Image Engineering, Analysis, Recognition, etc. [MI] 
Paper Information
Registration To MI 
Conference Code 2018-03-SIP-EA-SP-MI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A preliminary study on organ region localization using regression CNN 
Sub Title (in English)  
Keyword(1) CT volume  
Keyword(2) localization  
Keyword(3) deep learning  
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1st Author's Name Natsuki Shimizu  
1st Author's Affiliation Nagoya University (Nagoya Univ.)
2nd Author's Name Masahiro Oda  
2nd Author's Affiliation Nagoya University (Nagoya Univ.)
3rd Author's Name Holger R. Roth  
3rd Author's Affiliation Nagoya University (Nagoya Univ.)
4th Author's Name Yuichiro Hayashi  
4th Author's Affiliation Nagoya University (Nagoya Univ.)
5th Author's Name Kazunari Misawa  
5th Author's Affiliation Aichi Cancer Center Hospital (Aichi Cancer Center Hospital)
6th Author's Name Michitaka Fujiwara  
6th Author's Affiliation Nagoya University (Nagoya Univ.)
7th Author's Name Kensaku Mori  
7th Author's Affiliation Nagoya University (Nagoya Univ.)
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Speaker Author-1 
Date Time 2018-03-20 10:30:00 
Presentation Time 15 minutes 
Registration for MI 
Paper # MI2017-89 
Volume (vol) vol.117 
Number (no) no.518 
Page pp.81-86 
#Pages
Date of Issue 2018-03-12 (MI) 


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