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Paper Abstract and Keywords
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
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 Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380
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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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  
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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Date Time 2018-07-24 15:05:00 
Presentation Time 20 
Registration for MI 
Paper # IEICE-MI2018-29 
Volume (vol) IEICE-118 
Number (no) no.150 
Page pp.39-43 
#Pages IEICE-5 
Date of Issue IEICE-MI-2018-07-17 

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