Paper Abstract and Keywords |
Presentation |
2023-03-06 17:04
[Short Paper]
Rotation-Equivariant CNN for Medical Image Processing Applications Ryota Ogino, Kugler Mauricio, Tatsuya Yokota, Hidekata Hontani (NITech) MI2022-96 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
In this study, we report an attempt to use a Rotation-Equivariant CNN to organize image data whose rotation direction and scale are unknown.
The orientation of medical images may differ depending on the hospital or institution that provides the images.
In this study, we construct a model for predicting the rotation angle of rotated images using a Rotation-Equivariant CNN through self-supervised learning of the task of predicting the rotation angle from rotated images.
We report experimental results of medical image classification using a model trained only on general images. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
medical image / Rotation-Equivariant CNN / self-supervised learning / rotation direction prediction / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 122, no. 417, MI2022-96, pp. 113-114, March 2023. |
Paper # |
MI2022-96 |
Date of Issue |
2023-02-27 (MI) |
ISSN |
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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MI2022-96 |
Conference Information |
Committee |
MI |
Conference Date |
2023-03-06 - 2023-03-07 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
OKINAWA SEINENKAIKAN |
Topics (in Japanese) |
(See Japanese page) |
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Paper Information |
Registration To |
MI |
Conference Code |
2023-03-MI |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Rotation-Equivariant CNN for Medical Image Processing Applications |
Sub Title (in English) |
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Keyword(1) |
medical image |
Keyword(2) |
Rotation-Equivariant CNN |
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self-supervised learning |
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rotation direction prediction |
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1st Author's Name |
Ryota Ogino |
1st Author's Affiliation |
Nagoya Institute of Technology (NITech) |
2nd Author's Name |
Kugler Mauricio |
2nd Author's Affiliation |
Nagoya Institute of Technology (NITech) |
3rd Author's Name |
Tatsuya Yokota |
3rd Author's Affiliation |
Nagoya Institute of Technology (NITech) |
4th Author's Name |
Hidekata Hontani |
4th Author's Affiliation |
Nagoya Institute of Technology (NITech) |
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Speaker |
Author-1 |
Date Time |
2023-03-06 17:04:00 |
Presentation Time |
13 minutes |
Registration for |
MI |
Paper # |
MI2022-96 |
Volume (vol) |
vol.122 |
Number (no) |
no.417 |
Page |
pp.113-114 |
#Pages |
2 |
Date of Issue |
2023-02-27 (MI) |
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