| 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 | 2021-03-04 13:30 Improvement of Detection Accuracy of Calcification Regions from Dental Panoramic Radiograph Using Deep Learning Taito Murano, Mitsuji Muneyasu, Soh Yoshida, Akira Asano (Kansai Univ.), Keiichi Uchida (Matsumoto Dental Univ. Hospital), Dewake Nanae, Yasuaki Ishioka, Nobuo Yoshinari (Matsumoto Dental Univ.)  SIS2020-45 |
|
| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Dental panoramic radiographs may show calcified areas that are a sign of vascular disease. Finding these areas in dentistry encourages medical examinations and prevents the sudden onset of vascular disease. Therefore, some automatic detection methods for calcified regions have been proposed, and among them, a method using an object detector based deep learning has been proposed. Although false positives are significantly reduced, the accuracy is not sufficient. Therefore, we propose a method for estimating the position of a calcified region using semantic segmentation, which has been increasingly applied to medical image processing in recent years. The experimental results show that the proposed method improves the detection accuracy. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | calcification region / dental panoramic radiograph / automatic detection / vascular disease / deep learning / neural network / semantic segmentation / | |
| Reference Info. | IEICE Tech. Rep., vol. 120, no. 415, SIS2020-45, pp. 55-60, March 2021. | |
| Paper # | SIS2020-45 | |
| Date of Issue | 2021-02-25 (SIS) | |
| 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 | SIS2020-45 |
|
| Conference Information | |
| Committee | SIS |
| Conference Date | 2021-03-04 - 2021-03-05 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Soft Computing, etc. |
| Paper Information | |
| Registration To | SIS |
| Conference Code | 2021-03-SIS |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Improvement of Detection Accuracy of Calcification Regions from Dental Panoramic Radiograph Using Deep Learning |
| Sub Title (in English) | |
| Keyword(1) | calcification region |
| Keyword(2) | dental panoramic radiograph |
| Keyword(3) | automatic detection |
| Keyword(4) | vascular disease |
| Keyword(5) | deep learning |
| Keyword(6) | neural network |
| Keyword(7) | semantic segmentation |
| Keyword(8) | |
| 1st Author's Name | Taito Murano |
| 1st Author's Affiliation | Kansai University (Kansai Univ.) |
| 2nd Author's Name | Mitsuji Muneyasu |
| 2nd Author's Affiliation | Kansai University (Kansai Univ.) |
| 3rd Author's Name | Soh Yoshida |
| 3rd Author's Affiliation | Kansai University (Kansai Univ.) |
| 4th Author's Name | Akira Asano |
| 4th Author's Affiliation | Kansai University (Kansai Univ.) |
| 5th Author's Name | Keiichi Uchida |
| 5th Author's Affiliation | Matsumoto Dental University Hospital (Matsumoto Dental Univ. Hospital) |
| 6th Author's Name | Dewake Nanae |
| 6th Author's Affiliation | Matsumoto Dental University (Matsumoto Dental Univ.) |
| 7th Author's Name | Yasuaki Ishioka |
| 7th Author's Affiliation | Matsumoto Dental University (Matsumoto Dental Univ.) |
| 8th Author's Name | Nobuo Yoshinari |
| 8th Author's Affiliation | Matsumoto Dental University (Matsumoto Dental Univ.) |
| 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 | 2021-03-04 13:30:00 |
| Presentation Time | 20 minutes |
| Registration for | SIS |
| Paper # | SIS2020-45 |
| Volume (vol) | vol.120 |
| Number (no) | no.415 |
| Page | pp.55-60 |
| #Pages | 6 |
| Date of Issue | 2021-02-25 (SIS) |
[Return to Top Page]