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Paper Abstract and Keywords
Presentation 2024-03-03 09:53
Deep Learning based Objective Microscopic Agglutination Test
Risa Nakano, Yuji Oyamada (Tottori Univ.), Ryo Ozuru (Fukuoka Univ.) MI2023-34
Abstract (in Japanese) (See Japanese page) 
(in English) This paper aims to achieve objective justification of decision criteria in Microscopic Agglutination Test (MAT), which is the gold standard for definitive diagnosis of leptospirosis. To this purpose, we propose an agglutination rate estimation method based on object detection. The method counts the number of bacteria appearing on images and also extracts shape of each bacteria by utilizing a deep learning instance segmentation on images and computes the agglutination rate from the counts. Showing the counts as well as segmentation result visually, laboratory technicians can intuitively understand how well the detection works and the reliability of the computed agglutination rate. We report the experimental result both quantitatively and qualitatively and introduce feedback from experts.
Keyword (in Japanese) (See Japanese page) 
(in English) Deep Learning / Leptospirosis / Microscopic Agglutination Test / Objective justification of decision criteria / / / /  
Reference Info. IEICE Tech. Rep., vol. 123, no. 411, MI2023-34, pp. 15-18, March 2024.
Paper # MI2023-34 
Date of Issue 2024-02-25 (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 MI2023-34

Conference Information
Committee MI  
Conference Date 2024-03-03 - 2024-03-04 
Place (in Japanese) (See Japanese page) 
Place (in English) OKINAWAKEN SEINENKAIKAN 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Medical Imaging, etc. 
Paper Information
Registration To MI 
Conference Code 2024-03-MI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Deep Learning based Objective Microscopic Agglutination Test 
Sub Title (in English)  
Keyword(1) Deep Learning  
Keyword(2) Leptospirosis  
Keyword(3) Microscopic Agglutination Test  
Keyword(4) Objective justification of decision criteria  
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1st Author's Name Risa Nakano  
1st Author's Affiliation Tottori University (Tottori Univ.)
2nd Author's Name Yuji Oyamada  
2nd Author's Affiliation Tottori University (Tottori Univ.)
3rd Author's Name Ryo Ozuru  
3rd Author's Affiliation Fukuoka University (Fukuoka Univ.)
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Speaker Author-1 
Date Time 2024-03-03 09:53:00 
Presentation Time 12 minutes 
Registration for MI 
Paper # MI2023-34 
Volume (vol) vol.123 
Number (no) no.411 
Page pp.15-18 
#Pages 4 
Date of Issue 2024-02-25 (MI) 

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