Paper Abstract and Keywords |
Presentation |
2019-10-11 15:00
Analysis of diffuse lung disease shadows using Bolasso feature selection method Akihiro Endo (UEC), Kenji Nagata (NIMS), Shoji Kido (Osaka Univ.), Hayaru Shouno (UEC) MBE2019-33 NC2019-24 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Diffuse lung disease is an intractable disease and abnormal shadows appear on lung X-ray CT images.
Since various patterns of abnormal shadows indicate the nature of diseases, the identification of abnormal shadows by doctors is important part of diagnosis.
To construct a system to identify abnormal shadows can be expected to lead to early detection of disease and appropriate treatment.
However, in the previous studies, the identification system considering the relationship between shadow classes has not been sufficiently studied.
Therefore, in this study, we constructed a one-vs-one classifiers for various abnormal shadows and normal shadows, and investigated the relationship with normal shadows in classification.
In the construction of the classifiers, we applied feature selection using Bolasso, and confirmed the feature expression of the abnormal shadow.
Moreover, we revealed the selected features shows the similarity between classes . |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Diffuse lung disease / Texture features / Feature selection / Bolasso / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 119, no. 225, NC2019-24, pp. 23-27, Oct. 2019. |
Paper # |
NC2019-24 |
Date of Issue |
2019-10-04 (MBE, NC) |
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) |
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MBE2019-33 NC2019-24 |
Conference Information |
Committee |
MBE NC |
Conference Date |
2019-10-11 - 2019-10-12 |
Place (in Japanese) |
(See Japanese page) |
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Paper Information |
Registration To |
NC |
Conference Code |
2019-10-MBE-NC |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Analysis of diffuse lung disease shadows using Bolasso feature selection method |
Sub Title (in English) |
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Keyword(1) |
Diffuse lung disease |
Keyword(2) |
Texture features |
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Feature selection |
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Bolasso |
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1st Author's Name |
Akihiro Endo |
1st Author's Affiliation |
The University of Electro-Communications (UEC) |
2nd Author's Name |
Kenji Nagata |
2nd Author's Affiliation |
National Institute for Materials Science (NIMS) |
3rd Author's Name |
Shoji Kido |
3rd Author's Affiliation |
Osaka University (Osaka Univ.) |
4th Author's Name |
Hayaru Shouno |
4th Author's Affiliation |
The University of Electro-Communications (UEC) |
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Speaker |
Author-1 |
Date Time |
2019-10-11 15:00:00 |
Presentation Time |
25 minutes |
Registration for |
NC |
Paper # |
MBE2019-33, NC2019-24 |
Volume (vol) |
vol.119 |
Number (no) |
no.224(MBE), no.225(NC) |
Page |
pp.23-27 |
#Pages |
5 |
Date of Issue |
2019-10-04 (MBE, NC) |
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