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Paper Abstract and Keywords
Presentation 2021-03-16 13:15
[Short Paper] Feature extraction using AutoEncorder from nodular shadows on chest CT images
Yuta Tanaka, Takeshi Hara, Xiangrong Zhou (Gifu Univ.), Masaki Matsusako, Taiki Nozaki (St. Luke's Hosp.) MI2020-71
Abstract (in Japanese) (See Japanese page) 
(in English) Lung cancer mortality in men is 86.7% in 2018. If the benign and malignant lung cancer and the growth rate of nodules can be predicted from a single test, it will reduce the burden on patients. The purpose of this study is to clarify the relationship between the features mechanically obtained by AutoEncoder from the nodule region of the chest CT images and the malignancy of nodules. The features obtained by AutoEncoder are classified as benign or malignant by three methods: SVM, random forest, and subspace method. As a result, the accuracy of classifying the features was 0.7 to 3 points higher than the accuracy of classifying the image.
Keyword (in Japanese) (See Japanese page) 
(in English) Chest CT image / AutoEncorder / / / / / /  
Reference Info. IEICE Tech. Rep., vol. 120, no. 431, MI2020-71, pp. 99-101, March 2021.
Paper # MI2020-71 
Date of Issue 2021-03-08 (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 MI2020-71

Conference Information
Committee MI  
Conference Date 2021-03-15 - 2021-03-17 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Medical Imaging 
Paper Information
Registration To MI 
Conference Code 2021-03-MI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Feature extraction using AutoEncorder from nodular shadows on chest CT images 
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Keyword(1) Chest CT image  
Keyword(2) AutoEncorder  
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1st Author's Name Yuta Tanaka  
1st Author's Affiliation Gifu University (Gifu Univ.)
2nd Author's Name Takeshi Hara  
2nd Author's Affiliation Gifu University (Gifu Univ.)
3rd Author's Name Xiangrong Zhou  
3rd Author's Affiliation Gifu University (Gifu Univ.)
4th Author's Name Masaki Matsusako  
4th Author's Affiliation Department of Radiology, St. Luke's International Hospital (St. Luke's Hosp.)
5th Author's Name Taiki Nozaki  
5th Author's Affiliation Department of Radiology, St. Luke's International Hospital (St. Luke's Hosp.)
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Speaker Author-1 
Date Time 2021-03-16 13:15:00 
Presentation Time 15 minutes 
Registration for MI 
Paper # MI2020-71 
Volume (vol) vol.120 
Number (no) no.431 
Page pp.99-101 
#Pages 3 
Date of Issue 2021-03-08 (MI) 

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