Paper Abstract and Keywords |
Presentation |
2012-01-23 11:10
Medical image diagnosis of lung cancer by feedback GMDH-type neural network self-selecting optimum neuron architectuere Tadashi Kondo, Junji Ueno, Shoichiro Takao (Tokushima Univ.) KBSE2011-54 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
In this study, a feedback Group Method of Data Handling (GMDH)-type neural network self-selecting optimum neuron architecture is proposed. Feedback GMDH-type neural network algorithm has an ability of self-selecting optimum neuron architecture from three neuron architectures such as sigmoid function neuron, radial basis function (RBF) neuron and polynomial neuron. This neural network has a feedback loop and can organize the optimum neural network architecture fitting the complexity of the nonlinear system by the feedback loop calculations. Feedback GMDH-type neural network also have abilities of self-selecting the number of feedback loop calculations, the number of neurons in hidden layers and useful input variables. This algorithm is applied to medical image diagnosis of lung cancer and it is shown that this algorithm is useful for medical image diagnosis of lung cancer and is easy to apply practical complex problem because optimum neural network architecture is automatically organized. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
GMDH / Medical image diagnosis / Neural network / / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 111, no. 396, KBSE2011-54, pp. 7-12, Jan. 2012. |
Paper # |
KBSE2011-54 |
Date of Issue |
2012-01-16 (KBSE) |
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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KBSE2011-54 |
Conference Information |
Committee |
KBSE |
Conference Date |
2012-01-23 - 2012-01-24 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Kikai-Shinko-Kaikan Bldg. |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
General session |
Paper Information |
Registration To |
KBSE |
Conference Code |
2012-01-KBSE |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Medical image diagnosis of lung cancer by feedback GMDH-type neural network self-selecting optimum neuron architectuere |
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GMDH |
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Medical image diagnosis |
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Neural network |
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1st Author's Name |
Tadashi Kondo |
1st Author's Affiliation |
The University of Tokushima (Tokushima Univ.) |
2nd Author's Name |
Junji Ueno |
2nd Author's Affiliation |
The University of Tokushima (Tokushima Univ.) |
3rd Author's Name |
Shoichiro Takao |
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The University of Tokushima (Tokushima Univ.) |
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Speaker |
Author-1 |
Date Time |
2012-01-23 11:10:00 |
Presentation Time |
40 minutes |
Registration for |
KBSE |
Paper # |
KBSE2011-54 |
Volume (vol) |
vol.111 |
Number (no) |
no.396 |
Page |
pp.7-12 |
#Pages |
6 |
Date of Issue |
2012-01-16 (KBSE) |
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