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| Presentation | 2018-07-24 15:05 Improving Accuracy of Lung nodules Detection by Transfer Learning Tatsuya Yamazaki, Hayato Yamakawa, Norihiko Yoshimura, Motohiko Yamazaki (Niigata Univ.)  MI2018-29 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | In Japan, cancer is the first leading cause of death and, in particular, fatalities of lung cancer is increasing recently. It is proved that the mortality rate of lung cancer can be decreased by remedy commencement with early detection. Although chest CT inspection is one of the detailed examinations for lung cancer, it has been an issue that the number of specialists who diagnose the chest CT images is not enough. On the other hand, usefulness of Deep Learning (DL), that can extract the features in the object images based on a large image database and classify the images, is growing. The issue of specialist shortage might be solved by applying DL to the diagnosis of lung CT images. However, such a large database of CT images is not always available. In this paper, for such a case, it is verified that accuracy of lung nodule detection can be improved by the transfer learning that train a DL model by making use of public databases including the same kind of chest CT images. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | CT Image / Lung Nodule / Deep Learning / Transfer Learning / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 118, no. 150, MI2018-29, pp. 39-43, July 2018. | |
| Paper # | MI2018-29 | |
| Date of Issue | 2018-07-17 (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) | |
| Download PDF | MI2018-29 |
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| Conference Information | |
| Committee | MI |
| Conference Date | 2018-07-24 - 2018-07-24 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | aiina (Morioka, Iwate) |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Medical Imaging, etc. |
| Paper Information | |
| Registration To | MI |
| Conference Code | 2018-07-MI |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Improving Accuracy of Lung nodules Detection by Transfer Learning |
| Sub Title (in English) | |
| Keyword(1) | CT Image |
| Keyword(2) | Lung Nodule |
| Keyword(3) | Deep Learning |
| Keyword(4) | Transfer Learning |
| Keyword(5) | |
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| 1st Author's Name | Tatsuya Yamazaki |
| 1st Author's Affiliation | Niigata University (Niigata Univ.) |
| 2nd Author's Name | Hayato Yamakawa |
| 2nd Author's Affiliation | Niigata University (Niigata Univ.) |
| 3rd Author's Name | Norihiko Yoshimura |
| 3rd Author's Affiliation | Niigata University (Niigata Univ.) |
| 4th Author's Name | Motohiko Yamazaki |
| 4th Author's Affiliation | Niigata University (Niigata Univ.) |
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| Speaker | Author-1 |
| Date Time | 2018-07-24 15:05:00 |
| Presentation Time | 20 minutes |
| Registration for | MI |
| Paper # | MI2018-29 |
| Volume (vol) | vol.118 |
| Number (no) | no.150 |
| Page | pp.39-43 |
| #Pages | 5 |
| Date of Issue | 2018-07-17 (MI) |
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