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Paper Abstract and Keywords
Presentation 2022-07-09 15:20
Disease segmentation of 3D diagnostic images -- Disease detection using CT data --
Tetsuya Asakawa, Riku Tsuneda, Yuki Sugimoto (TUT), Kazuki Shimizu, Takuyuki Komoda (THC), Masaki Aono (TUT) MI2022-47
Abstract (in Japanese) (See Japanese page) 
(in English) Disease detection from medical images reinforce the judgment of doctors and medical engineers, and is expected to play an active role as a second opinion. Therefore, we detected the disease using the object detection model (Yolo V3 tiny, Yolo V3, Yolo V5) using the CLEF2022 Medical Tuberculosis Detection dataset. However, existing trained models do not have a label to detect the disease. Therefore, we created a labeling learning model and conducted experiments. As a result, high accuracy was achieved with mAP of 95% in Yolo v5.
Keyword (in Japanese) (See Japanese page) 
(in English) Computed Tomography / Tuberculosis / Deep Learning / Disease Detection / / / /  
Reference Info. IEICE Tech. Rep., vol. 122, no. 98, MI2022-47, pp. 56-60, July 2022.
Paper # MI2022-47 
Date of Issue 2022-07-01 (MI) 
ISSN Online edition: ISSN 2432-6380
Copyright
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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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Conference Information
Committee MI  
Conference Date 2022-07-08 - 2022-07-09 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English) Medical imaging, recoginition, etc. 
Paper Information
Registration To MI 
Conference Code 2022-07-MI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Disease segmentation of 3D diagnostic images 
Sub Title (in English) Disease detection using CT data 
Keyword(1) Computed Tomography  
Keyword(2) Tuberculosis  
Keyword(3) Deep Learning  
Keyword(4) Disease Detection  
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1st Author's Name Tetsuya Asakawa  
1st Author's Affiliation Toyohashi University of Technology (TUT)
2nd Author's Name Riku Tsuneda  
2nd Author's Affiliation Toyohashi University of Technology (TUT)
3rd Author's Name Yuki Sugimoto  
3rd Author's Affiliation Toyohashi University of Technology (TUT)
4th Author's Name Kazuki Shimizu  
4th Author's Affiliation Toyohashi Heart Center (THC)
5th Author's Name Takuyuki Komoda  
5th Author's Affiliation Toyohashi Heart Center (THC)
6th Author's Name Masaki Aono  
6th Author's Affiliation Toyohashi University of Technology (TUT)
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Speaker Author-1 
Date Time 2022-07-09 15:20:00 
Presentation Time 20 minutes 
Registration for MI 
Paper # MI2022-47 
Volume (vol) vol.122 
Number (no) no.98 
Page pp.56-60 
#Pages
Date of Issue 2022-07-01 (MI) 


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