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| Presentation | 2021-03-15 13:30 Automatic estimation of the extent of osteomyelitis of the jaw by anomaly detection Hideaki Hoshino, Kento Morita (Mie Univ.), Daisuke Takeda, Takumi Hasegawa (Kobe Univ.), Tetsushi Wakabayashi (Mie Univ.)  MI2020-53 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | In recent years, osteotomy has been used as a treatment for osteomyelitis of the jaw. However, the extent of osteomyelitis that can be determined from preoperative images is ambiguous, which causes problems such as lengthy surgery. Therefore, it is necessary to estimate the resection area with high accuracy. In this study, we proposed a method that combines deep metric learning and anomaly detection to estimate the area of osteomyelitis before surgery. As a result of experiments, we were able to estimate the presence or absence of osteomyelitis with F value of 0.85. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Osteomyelitis of the jaw / Computer-aided diagnosis / CT imaging / Anomaly detection / Deep learning / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 120, no. 431, MI2020-53, pp. 25-28, March 2021. | |
| Paper # | MI2020-53 | |
| 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 | MI2020-53 |
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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) | Automatic estimation of the extent of osteomyelitis of the jaw by anomaly detection |
| Sub Title (in English) | |
| Keyword(1) | Osteomyelitis of the jaw |
| Keyword(2) | Computer-aided diagnosis |
| Keyword(3) | CT imaging |
| Keyword(4) | Anomaly detection |
| Keyword(5) | Deep learning |
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| 1st Author's Name | Hideaki Hoshino |
| 1st Author's Affiliation | Mie University (Mie Univ.) |
| 2nd Author's Name | Kento Morita |
| 2nd Author's Affiliation | Mie University (Mie Univ.) |
| 3rd Author's Name | Daisuke Takeda |
| 3rd Author's Affiliation | Kobe University (Kobe Univ.) |
| 4th Author's Name | Takumi Hasegawa |
| 4th Author's Affiliation | Kobe University (Kobe Univ.) |
| 5th Author's Name | Tetsushi Wakabayashi |
| 5th Author's Affiliation | Mie University (Mie Univ.) |
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| Speaker | Author-1 |
| Date Time | 2021-03-15 13:30:00 |
| Presentation Time | 15 minutes |
| Registration for | MI |
| Paper # | MI2020-53 |
| Volume (vol) | vol.120 |
| Number (no) | no.431 |
| Page | pp.25-28 |
| #Pages | 4 |
| Date of Issue | 2021-03-08 (MI) |
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