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Paper Abstract and Keywords
Presentation 2021-03-15 14:00
Analysis of important features in surgical planning for mandibular reconstruction among multiple surgeons
Yusuke Hatakeyama, Kazuki Nagai, Megumi Nakao, Tetsuya Matsuda (Kyoto Univ.) MI2020-55
Abstract (in Japanese) (See Japanese page) 
(in English) Surgeons perform surgical treatment by considering the facilities and policies of medical institutions and their own experience. This suggests that a uniformly optimized machine learning model is not always accepted. Since different surgeons may have different surgical plans despite the same case, building a predictive model reflecting the diversity of decision-making process is considered to be one of the challenges facing machine learning. The purpose of this study was to analyze the important features in the mandibular reconstruction plans among multiple surgeons. We extracted 7-dimensional important features from total 696 surgical plans of two oral surgeons and one dental technician, and analyzed the universal properties and differences of the feature sets.
Keyword (in Japanese) (See Japanese page) 
(in English) Enumeration of Lasso solutions / Interpretability / Feature extraction / Mandibular reconstruction / / / /  
Reference Info. IEICE Tech. Rep., vol. 120, no. 431, MI2020-55, pp. 35-40, March 2021.
Paper # MI2020-55 
Date of Issue 2021-03-08 (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)
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Conference Information
Committee MI  
Conference Date 2021-03-15 - 2021-03-17 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Medical Imaging 
Paper Information
Registration To MI 
Conference Code 2021-03-MI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Analysis of important features in surgical planning for mandibular reconstruction among multiple surgeons 
Sub Title (in English)  
Keyword(1) Enumeration of Lasso solutions  
Keyword(2) Interpretability  
Keyword(3) Feature extraction  
Keyword(4) Mandibular reconstruction  
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1st Author's Name Yusuke Hatakeyama  
1st Author's Affiliation Kyoto University (Kyoto Univ.)
2nd Author's Name Kazuki Nagai  
2nd Author's Affiliation Kyoto University (Kyoto Univ.)
3rd Author's Name Megumi Nakao  
3rd Author's Affiliation Kyoto University (Kyoto Univ.)
4th Author's Name Tetsuya Matsuda  
4th Author's Affiliation Kyoto University (Kyoto Univ.)
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Speaker
Date Time 2021-03-15 14:00:00 
Presentation Time 15 
Registration for MI 
Paper # IEICE-MI2020-55 
Volume (vol) IEICE-120 
Number (no) no.431 
Page pp.35-40 
#Pages IEICE-6 
Date of Issue IEICE-MI-2021-03-08 


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