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Paper Abstract and Keywords
Presentation 2017-01-18 15:36
Embryonic State Estimation using a Cell Division Timing
Masakiyo Nishikawa (NAIST), Yoshihide Sawada, Yumiko O. Kato (Panasonic), Yasuhiro Mukaigawa (NAIST) MI2016-116
Abstract (in Japanese) (See Japanese page) 
(in English) Confirmation works which check whether the embryo can transplant are necessary in in-vitro fertilization but this works impose a burden on a medical doctor. So we try the embryonic state estimation by machine learning as the first trial for the automation of the confirmation. We build models which output the possibility of the transplant using cell division timing and evaluate the performance of the models. We make evaluation experiments by changing machine learning (support vector machine, SVM and neural network, NN) and parameters of model. As a result of experiments, a max identification rate is 78.1%. In addition, we found that the information of pronucleus of embryo disappearance and number of the blastomeres 3 is important for embryonic state estimation by visualizing the NN synapse combined load.
Keyword (in Japanese) (See Japanese page) 
(in English) Embryo / Transplantability Estimation / Support Vector Machine / Neural Network / / / /  
Reference Info. IEICE Tech. Rep., vol. 116, no. 393, MI2016-116, pp. 177-182, Jan. 2017.
Paper # MI2016-116 
Date of Issue 2017-01-11 (MI) 
ISSN Print edition: ISSN 0913-5685    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 MI2016-116

Conference Information
Committee MI  
Conference Date 2017-01-18 - 2017-01-18 
Place (in Japanese) (See Japanese page) 
Place (in English) Tenbusu Naha 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Medical Image Engineering, Analysis, Recognition, etc. 
Paper Information
Registration To MI 
Conference Code 2017-01-MI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Embryonic State Estimation using a Cell Division Timing 
Sub Title (in English)  
Keyword(1) Embryo  
Keyword(2) Transplantability Estimation  
Keyword(3) Support Vector Machine  
Keyword(4) Neural Network  
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1st Author's Name Masakiyo Nishikawa  
1st Author's Affiliation Nara Institute of Science and Technology (NAIST)
2nd Author's Name Yoshihide Sawada  
2nd Author's Affiliation Panasonic Corporation (Panasonic)
3rd Author's Name Yumiko O. Kato  
3rd Author's Affiliation Panasonic Corporation (Panasonic)
4th Author's Name Yasuhiro Mukaigawa  
4th Author's Affiliation Nara Institute of Science and Technology (NAIST)
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Speaker Author-1 
Date Time 2017-01-18 15:36:00 
Presentation Time 12 minutes 
Registration for MI 
Paper # MI2016-116 
Volume (vol) vol.116 
Number (no) no.393 
Page pp.177-182 
#Pages 6 
Date of Issue 2017-01-11 (MI) 

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