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Paper Abstract and Keywords
Presentation 2021-03-15 13:45
Surgical planning model generation by extracting important feature sets in mandibular reconstruction
Kazuki Nagai, Megumi Nakao (Kyoto Univ.), Nobuhiro Ueda (Nara Medical Univ.), Yuichiro Imai (Rakuwakai Otowa Hospital), Toshihide Hatanaka, Tadaaki Kirita (Nara Medical Univ.), Tetsuya Matsuda (Kyoto Univ.) MI2020-54
Abstract (in Japanese) (See Japanese page) 
(in English) Because implicit medical knowledge and experience are used to perform medical treatment, such decisions must be clarified when systematizing surgical procedures. We proposed the enumaration of Lasso solutions corresponding to multiple classes in mandibular reconstruction, but the calculation amount required to search feature sets was large. In this study, we propose the enumeration of Lasso solutions algorithm for multi-class classification that preferentioally selects frequently features. Experiments showed that the 5-dimensional feature set which can correctly estimate more than 90% of surgeons' plans with 76% calculation time compared to the previous methods.
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, MI2020-54, pp. 29-34, March 2021.
Paper # MI2020-54 
Date of Issue 2021-03-08 (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 MI2020-54

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) Surgical planning model generation by extracting important feature sets in mandibular reconstruction 
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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Keyword(6)  
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1st Author's Name Kazuki Nagai  
1st Author's Affiliation Kyoto University (Kyoto Univ.)
2nd Author's Name Megumi Nakao  
2nd Author's Affiliation Kyoto University (Kyoto Univ.)
3rd Author's Name Nobuhiro Ueda  
3rd Author's Affiliation Nara Medical University (Nara Medical Univ.)
4th Author's Name Yuichiro Imai  
4th Author's Affiliation Rakuwakai Otowa Hospital (Rakuwakai Otowa Hospital)
5th Author's Name Toshihide Hatanaka  
5th Author's Affiliation Nara Medical University (Nara Medical Univ.)
6th Author's Name Tadaaki Kirita  
6th Author's Affiliation Nara Medical University (Nara Medical Univ.)
7th Author's Name Tetsuya Matsuda  
7th Author's Affiliation Kyoto University (Kyoto Univ.)
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Speaker Author-1 
Date Time 2021-03-15 13:45:00 
Presentation Time 15 minutes 
Registration for MI 
Paper # MI2020-54 
Volume (vol) vol.120 
Number (no) no.431 
Page pp.29-34 
#Pages 6 
Date of Issue 2021-03-08 (MI) 

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