Paper Abstract and Keywords |
Presentation |
2012-01-23 10:30
Medical image diagnosis of liver cancer by multi-layered GMDH-type neural network using artificial intelligence Tadashi Kondo, Junji Ueno, Shoichiro Takao (Tokushima Univ.) KBSE2011-53 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
A multi-layered Group Method of Data Handling (GMDH)-type neural network algorithm using artificial intelligence is proposed and is applied to medical image diagnosis of liver cancer that is called hepatocellular carcinoma (HCC). In this algorithm, the knowledge base for medical image diagnosis are used for organizing the neural network architecture for medical image diagnosis and the multi-layered GMDH-type neural network algorithm can identify the characteristics of the medical images accurately. The optimum neural network architecture fitting the complexity of the medical images is automatically organized so as to minimize the prediction error criterion defined as Prediction Sum of Squares (PSS) and it is shown that the multi-layered GMDH-type neural network can be easily applied to the medical image diagnosis because the optimum neural network architecture is automatically organized using artificial intelligence. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
GMDH / Neural network / Medical image diagnosis / / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 111, no. 396, KBSE2011-53, pp. 1-6, Jan. 2012. |
Paper # |
KBSE2011-53 |
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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KBSE2011-53 |
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 liver cancer by multi-layered GMDH-type neural network using artificial intelligence |
Sub Title (in English) |
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GMDH |
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Neural network |
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Medical image diagnosis |
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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 |
3rd Author's Affiliation |
The University of Tokushima (Tokushima Univ.) |
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Speaker |
Author-1 |
Date Time |
2012-01-23 10:30:00 |
Presentation Time |
40 minutes |
Registration for |
KBSE |
Paper # |
KBSE2011-53 |
Volume (vol) |
vol.111 |
Number (no) |
no.396 |
Page |
pp.1-6 |
#Pages |
6 |
Date of Issue |
2012-01-16 (KBSE) |