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| Presentation | 2022-01-25 16:37 [Short Paper] Recognition of teeth and dental prostheses in dental panoramic radiographs using multi-label detection Takumi Morishita (Gifu Univ.), Chisako Muramatsu (Shiga Univ.), Ryo Takahashi, Tatsuro Hayashi (media), Yuta Seino (Gifu Univ.), Wataru Nishiyama (Asahi Univ.), Xiangrong Zhou, Takeshi Hara (Gifu Univ.), Akitoshi Katsumata (Asahi Univ.), Hiroshi Fujita (Gifu Univ.)  MI2021-51 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | The purpose of this study is to analyze dental panoramic radiographs for completing dental files to contribute to the diagnosis by dentists. In this study, two problems were addressed using 925 cases: the first one is the recognition of 32 tooth types (including dental prosthesis), and the second is to classify the detected teeth into four tooth attributes (tooth, remaining root, pontic, and implant). We processed these simultaneously by multi-label detection. Using YOLOv4 and post-processing, the results showed that the tooth detection recall was 99.67%, the number of false positives was 0.07 per image, and the 32-type recognition recall was 98.70%. For the classification of the four tooth attributes, the accuracy was 0.995, the recall was 0.941, and the precision was 0.871. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Dental panoramic radiographs / Deep learning / Computer-assisted diagnosis / YOLOv4 / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 121, no. 347, MI2021-51, pp. 37-38, Jan. 2022. | |
| Paper # | MI2021-51 | |
| Date of Issue | 2022-01-18 (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 | MI2021-51 |
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| Conference Information | |
| Committee | MI |
| Conference Date | 2022-01-25 - 2022-01-27 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | MI |
| Conference Code | 2022-01-MI |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Recognition of teeth and dental prostheses in dental panoramic radiographs using multi-label detection |
| Sub Title (in English) | |
| Keyword(1) | Dental panoramic radiographs |
| Keyword(2) | Deep learning |
| Keyword(3) | Computer-assisted diagnosis |
| Keyword(4) | YOLOv4 |
| Keyword(5) | |
| Keyword(6) | |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Takumi Morishita |
| 1st Author's Affiliation | Gifu University (Gifu Univ.) |
| 2nd Author's Name | Chisako Muramatsu |
| 2nd Author's Affiliation | Shiga University (Shiga Univ.) |
| 3rd Author's Name | Ryo Takahashi |
| 3rd Author's Affiliation | Media Co., Ltd (media) |
| 4th Author's Name | Tatsuro Hayashi |
| 4th Author's Affiliation | Media Co., Ltd (media) |
| 5th Author's Name | Yuta Seino |
| 5th Author's Affiliation | Gifu University (Gifu Univ.) |
| 6th Author's Name | Wataru Nishiyama |
| 6th Author's Affiliation | Asahi University (Asahi Univ.) |
| 7th Author's Name | Xiangrong Zhou |
| 7th Author's Affiliation | Gifu University (Gifu Univ.) |
| 8th Author's Name | Takeshi Hara |
| 8th Author's Affiliation | Gifu University (Gifu Univ.) |
| 9th Author's Name | Akitoshi Katsumata |
| 9th Author's Affiliation | Asahi University (Asahi Univ.) |
| 10th Author's Name | Hiroshi Fujita |
| 10th Author's Affiliation | Gifu University (Gifu Univ.) |
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| Speaker | Author-1 |
| Date Time | 2022-01-25 16:37:00 |
| Presentation Time | 13 minutes |
| Registration for | MI |
| Paper # | MI2021-51 |
| Volume (vol) | vol.121 |
| Number (no) | no.347 |
| Page | pp.37-38 |
| #Pages | 2 |
| Date of Issue | 2022-01-18 (MI) |
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