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Paper Abstract and Keywords
Presentation 2024-03-15 16:10
Study of Sperm Quality Assessment from Video Data
Sigit Adinugroho, Atsushi Nakazawa (Okayama University) IMQ2023-91 IE2023-146 MVE2023-120
Abstract (in Japanese) (See Japanese page) 
(in English) Human sperm quality assessment is necessary for a successful assisted reproduction program. Current assessment still relies on human observation that has subjectivity and variability. To tackle this problem, automated approaches were introduced to increase the test results’ consistency and accuracy. However, previous studies figured out that the goal was still challenging since a single model could only predict single characteristics of sperm quality. This study aimed to perform a multi-variables joint estimation in sperm quality via a single model that has never been done before. The model takes a stack of optical flow images and a grayscale image to be processed by motion and appearance streams. The outputs from each stream are combined and further processed by a regressor to estimate the concentration, vitality, motility, and morphology. While the proposed work achieves acceptable results for most of the variables, more work should be conducted to increase the accuracy.
Keyword (in Japanese) (See Japanese page) 
(in English) sperm analysis / deep neural network / optical flow / MotionFlow / / / /  
Reference Info. IEICE Tech. Rep., vol. 123, no. 432, IE2023-146, pp. 420-424, March 2024.
Paper # IE2023-146 
Date of Issue 2024-03-06 (IMQ, IE, MVE) 
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 IMQ2023-91 IE2023-146 MVE2023-120

Conference Information
Committee IE MVE CQ IMQ  
Conference Date 2024-03-13 - 2024-03-15 
Place (in Japanese) (See Japanese page) 
Place (in English) Okinawa Sangyo Shien Center 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Media of five senses, Multimedia, Media experience, Picture codinge, Image media quality, Network,quality and reliability, etc（AC） 
Paper Information
Registration To IE 
Conference Code 2024-03-IE-MVE-CQ-IMQ 
Language English 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Study of Sperm Quality Assessment from Video Data 
Sub Title (in English)  
Keyword(1) sperm analysis  
Keyword(2) deep neural network  
Keyword(3) optical flow  
Keyword(4) MotionFlow  
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1st Author's Name Sigit Adinugroho  
1st Author's Affiliation Okayama University (Okayama University)
2nd Author's Name Atsushi Nakazawa  
2nd Author's Affiliation Okayama University (Okayama University)
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Speaker Author-1 
Date Time 2024-03-15 16:10:00 
Presentation Time 20 minutes 
Registration for IE 
Paper # IMQ2023-91, IE2023-146, MVE2023-120 
Volume (vol) vol.123 
Number (no) no.430(IMQ), no.432(IE), no.433(MVE) 
Page pp.420-424 
#Pages 5 
Date of Issue 2024-03-06 (IMQ, IE, MVE) 

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