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Paper Abstract and Keywords
Presentation 2022-12-03 11:25
[Short Paper] Computer-aided Diagnosis System of COVID-19 with Hololens
Liang LYU, Shurong Chai, Jiaqing Liu (RITSUMEIKAN Univ.), Huimin Huang, Fang Wang (Zhejiang Univ.), Tomoko Tateyama (Fujita Health Univ.), Lanfen Lin (Zhejiang Univ.), Yenwei Chen (RITSUMEIKAN Univ.) MBE2022-22 NC2022-44
Abstract (in Japanese) (See Japanese page) 
(in English) CT images can detect the extent of viral infection in the lung field area in COVID-19, which is important for physicians to determine the severity of a patient's disease. Therefore, it is of new significance to establish a high-precision method for the extraction of inflammatory regions and to grasp the 3D data of COVID-19 infected regions from the obtained information for visualization using virtual reality technology. In this study, the Computer-aided Diagnosis System of COVID-19 was developed using Microsoft's mixed reality device (HoloLens) to help physicians visualize the inflammatory areas of COVID-19 in the lung more accurately. The proposed system can be operated interactively using simple gestures, and diagnostic support is provided through the computer to help doctors work efficiently.
Keyword (in Japanese) (See Japanese page) 
(in English) COVID-19 / Interactive / Segmentation / Visualization / HoloLens / / /  
Reference Info. IEICE Tech. Rep., vol. 122, no. 291, MBE2022-22, pp. 7-10, Dec. 2022.
Paper # MBE2022-22 
Date of Issue 2022-11-26 (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)
Download PDF MBE2022-22 NC2022-44

Conference Information
Committee MBE NC  
Conference Date 2022-12-03 - 2022-12-03 
Place (in Japanese) (See Japanese page) 
Place (in English) Osaka Electro-Communication University 
Topics (in Japanese) (See Japanese page) 
Topics (in English) NC, ME, etc. 
Paper Information
Registration To MBE 
Conference Code 2022-12-MBE-NC 
Language English 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Computer-aided Diagnosis System of COVID-19 with Hololens 
Sub Title (in English)  
Keyword(1) COVID-19  
Keyword(2) Interactive  
Keyword(3) Segmentation  
Keyword(4) Visualization  
Keyword(5) HoloLens  
Keyword(6)  
Keyword(7)  
Keyword(8)  
1st Author's Name Liang LYU  
1st Author's Affiliation RITSUMEIKAN University (RITSUMEIKAN Univ.)
2nd Author's Name Shurong Chai  
2nd Author's Affiliation RITSUMEIKAN University (RITSUMEIKAN Univ.)
3rd Author's Name Jiaqing Liu  
3rd Author's Affiliation RITSUMEIKAN University (RITSUMEIKAN Univ.)
4th Author's Name Huimin Huang  
4th Author's Affiliation Zhejiang University (Zhejiang Univ.)
5th Author's Name Fang Wang  
5th Author's Affiliation Zhejiang University (Zhejiang Univ.)
6th Author's Name Tomoko Tateyama  
6th Author's Affiliation Fujita Health University (Fujita Health Univ.)
7th Author's Name Lanfen Lin  
7th Author's Affiliation Zhejiang University (Zhejiang Univ.)
8th Author's Name Yenwei Chen  
8th Author's Affiliation RITSUMEIKAN University (RITSUMEIKAN Univ.)
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Speaker Author-1 
Date Time 2022-12-03 11:25:00 
Presentation Time 25 minutes 
Registration for MBE 
Paper # MBE2022-22, NC2022-44 
Volume (vol) vol.122 
Number (no) no.291(MBE), no.292(NC) 
Page pp.7-10 
#Pages 4 
Date of Issue 2022-11-26 (MBE, NC) 

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