Paper Abstract and Keywords |
Presentation |
2020-01-29 10:45
Proposal of Extraction Method of Important Features in Surgical Planning for Mandibular Reconstruction Kazuki Nagai, Megumi Nakao (Kyoto Univ.), Nobuhiro Ueda (Nara Medical Univ.), Yuichiro Imai (Rakuwakai Otowa Hospital), Tadaaki Kirita (Nara Medical Univ.), Tetsuya Matsuda (Kyoto Univ.) MI2019-70 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
As implicit medical knowledge and experience are used to perform medical treatment, clarification of decision making is important for systematization of surgical procedures. We propose an extraction algorithm of low dimensional features which are important for determining the number of fibular segments in mandibular reconstruction by enumeration of Lasso solutions. To perform multi-class classification, we extend enumeration of Lasso solutions by using the evaluation function that indexes the contribution of the extracted features. Experiments showed that the extracted 7-dimensional features have the same estimation performance as using all 49-dimensional features. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Enumeration of Lasso solutions / Feature extraction / Multi-class classification / Mandibular reconstruction / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 119, no. 399, MI2019-70, pp. 23-28, Jan. 2020. |
Paper # |
MI2019-70 |
Date of Issue |
2020-01-22 (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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MI2019-70 |
Conference Information |
Committee |
MI |
Conference Date |
2020-01-29 - 2020-01-30 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
OKINAWAKEN SEINENKAIKAN |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Medical Image Engineering, Analysis, Recognition, etc. |
Paper Information |
Registration To |
MI |
Conference Code |
2020-01-MI |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Proposal of Extraction Method of Important Features in Surgical Planning for Mandibular Reconstruction |
Sub Title (in English) |
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Keyword(1) |
Enumeration of Lasso solutions |
Keyword(2) |
Feature extraction |
Keyword(3) |
Multi-class classification |
Keyword(4) |
Mandibular reconstruction |
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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 |
Tadaaki Kirita |
5th Author's Affiliation |
Nara Medical University (Nara Medical Univ.) |
6th Author's Name |
Tetsuya Matsuda |
6th Author's Affiliation |
Kyoto University (Kyoto Univ.) |
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Speaker |
Author-1 |
Date Time |
2020-01-29 10:45:00 |
Presentation Time |
10 minutes |
Registration for |
MI |
Paper # |
MI2019-70 |
Volume (vol) |
vol.119 |
Number (no) |
no.399 |
Page |
pp.23-28 |
#Pages |
6 |
Date of Issue |
2020-01-22 (MI) |