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 |
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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MI2020-55 |
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) |
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Keyword(1) |
Enumeration of Lasso solutions |
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Interpretability |
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Feature extraction |
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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 |
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Kyoto University (Kyoto Univ.) |
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Speaker |
Author-1 |
Date Time |
2021-03-15 14:00:00 |
Presentation Time |
15 minutes |
Registration for |
MI |
Paper # |
MI2020-55 |
Volume (vol) |
vol.120 |
Number (no) |
no.431 |
Page |
pp.35-40 |
#Pages |
6 |
Date of Issue |
2021-03-08 (MI) |
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