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| Presentation | 2016-08-25 15:30 [Invited Talk] Applications of Deep learning for image diagnosis Hayaru Shouno (UEC)  SIP2016-76 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | The ``deep learning'' is the 3rd generation neural network technology, which is exhibiting its characteristics in the big data era.The field of medical diagnosis is now focused, so that several venture corporations, which specializes deep learning technology, and solution business corporations enter into this field.In this presentation, we explain the ``deep convolution neural network (DCNN)'', which is now becoming a {it{de facto}} standard in the computational vision, from the viewpoint of the network architecture and learning style.Then, we also discuss about the application to the medical image diagnosis.The most important problem for applying the deep learning is acquiring data. Unfortunately, in the medical imaging field, acquiring data is difficult task, so that we propose a DCNN with transfer learning to overcome the small dataset problem. |
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| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Deep Learning / Deep Convolutional Neural Network / Feature Analysis / Medical Image Analysis / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 116, no. 196, SIP2016-76, pp. 23-24, Aug. 2016. | |
| Paper # | SIP2016-76 | |
| Date of Issue | 2016-08-18 (SIP) | |
| 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) | |
| Download PDF | SIP2016-76 |
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| Conference Information | |
| Committee | SIP |
| Conference Date | 2016-08-25 - 2016-08-26 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Chiba Institute of Technology, Tsudanuma Campus |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Fundamental theory, machine learning, and signal processing |
| Paper Information | |
| Registration To | SIP |
| Conference Code | 2016-08-SIP |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Applications of Deep learning for image diagnosis |
| Sub Title (in English) | |
| Keyword(1) | Deep Learning |
| Keyword(2) | Deep Convolutional Neural Network |
| Keyword(3) | Feature Analysis |
| Keyword(4) | Medical Image Analysis |
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| Keyword(8) | |
| 1st Author's Name | Hayaru Shouno |
| 1st Author's Affiliation | University of Electro-Communications (UEC) |
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| Speaker | Author-1 |
| Date Time | 2016-08-25 15:30:00 |
| Presentation Time | 60 minutes |
| Registration for | SIP |
| Paper # | SIP2016-76 |
| Volume (vol) | vol.116 |
| Number (no) | no.196 |
| Page | pp.23-24 |
| #Pages | 2 |
| Date of Issue | 2016-08-18 (SIP) |
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