| IEICE Technical Committee Submission System Conference Paper's Information |
Online Proceedings [Sign in] Tech. Rep. Archives |
| Go Top Page | Go Previous | [Japanese] / [English] |
| Paper Abstract and Keywords | ||
| Presentation | 2021-11-05 16:10 Classification of root resorption from dental panoramic X-ray images based on deep metric learning Kosei Tamura, Tohru Kamiya (Kyushu Institute of Technology), Masashi Oda (Kyushu Dental University), Tatsurou Tanaka (Kagoshima University), Yasuhiro Morimoto (Kyushu Dental University)  MICT2021-43 MI2021-41 |
|
| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Root resorption is one of the tooth diseases. It is caused by the roots of the teeth melting when it was absorbed and accurate diagnostic imaging is required. CT images are required for accurate diagnosis and treatment of root resorption, however since many dental institutions in Japan often do not have CT equipment. So accurate root detection is desired in dental institution. In this paper, we propose a CNN model that uses EfficientNet for deep learning in feature extraction and incorporates center loss and triplet loss as loss functions for metric learning, and a computer for identifying the presence or absence of root resorption from panoramic X-ray images. As a result of constructing an image-assisted diagnostic method and applying it to 150 actual images, AUC=0.71 was obtained. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Deep Metric Learning / Anomaly Detection / Panoramic X-ray image / Root Resorption / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 121, no. 231, MI2021-41, pp. 68-71, Nov. 2021. | |
| Paper # | MI2021-41 | |
| Date of Issue | 2021-10-29 (MICT, 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 | MICT2021-43 MI2021-41 |
|
| Conference Information | |
| Committee | MI MICT |
| Conference Date | 2021-11-05 - 2021-11-05 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Medical imaging technology, healthcare and medical information communication technology |
| Paper Information | |
| Registration To | MI |
| Conference Code | 2021-11-MI-MICT |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Classification of root resorption from dental panoramic X-ray images based on deep metric learning |
| Sub Title (in English) | |
| Keyword(1) | Deep Metric Learning |
| Keyword(2) | Anomaly Detection |
| Keyword(3) | Panoramic X-ray image |
| Keyword(4) | Root Resorption |
| Keyword(5) | |
| Keyword(6) | |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Kosei Tamura |
| 1st Author's Affiliation | Kyushu Institute of Technology (Kyushu Institute of Technology) |
| 2nd Author's Name | Tohru Kamiya |
| 2nd Author's Affiliation | Kyushu Institute of Technology (Kyushu Institute of Technology) |
| 3rd Author's Name | Masashi Oda |
| 3rd Author's Affiliation | Kyushu Dental University (Kyushu Dental University) |
| 4th Author's Name | Tatsurou Tanaka |
| 4th Author's Affiliation | Kagoshima University (Kagoshima University) |
| 5th Author's Name | Yasuhiro Morimoto |
| 5th Author's Affiliation | Kyushu Dental University (Kyushu Dental University) |
| 6th Author's Name | |
| 6th Author's Affiliation | () |
| 7th Author's Name | |
| 7th Author's Affiliation | () |
| 8th Author's Name | |
| 8th Author's Affiliation | () |
| 9th Author's Name | |
| 9th Author's Affiliation | () |
| 10th Author's Name | |
| 10th Author's Affiliation | () |
| 11th Author's Name | |
| 11th Author's Affiliation | () |
| 12th Author's Name | |
| 12th Author's Affiliation | () |
| 13th Author's Name | |
| 13th Author's Affiliation | () |
| 14th Author's Name | |
| 14th Author's Affiliation | () |
| 15th Author's Name | |
| 15th Author's Affiliation | () |
| 16th Author's Name | |
| 16th Author's Affiliation | () |
| 17th Author's Name | |
| 17th Author's Affiliation | () |
| 18th Author's Name | |
| 18th Author's Affiliation | () |
| Speaker | Author-1 |
| Date Time | 2021-11-05 16:10:00 |
| Presentation Time | 20 minutes |
| Registration for | MI |
| Paper # | MICT2021-43, MI2021-41 |
| Volume (vol) | vol.121 |
| Number (no) | no.230(MICT), no.231(MI) |
| Page | pp.68-71 |
| #Pages | 4 |
| Date of Issue | 2021-10-29 (MICT, MI) |
[Return to Top Page]