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 |
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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MI2017-89 |
Conference Information |
Committee |
SIP EA SP MI |
Conference Date |
2018-03-19 - 2018-03-20 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
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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) |
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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 |
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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 |
6 |
Date of Issue |
2018-03-12 (MI) |
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