Presentation | 2021-03-04 Improvement of Detection Accuracy of Calcification Regions from Dental Panoramic Radiograph Using Deep Learning Taito Murano, Mitsuji Muneyasu, Soh Yoshida, Akira Asano, Keiichi Uchida, Dewake Nanae, Yasuaki Ishioka, Nobuo Yoshinari, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(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) |
Keyword(in English) | calcification region / dental panoramic radiograph / automatic detection / vascular disease / deep learning / neural network / semantic segmentation |
Paper # | SIS2020-45 |
Date of Issue | 2021-02-25 (SIS) |
Conference Information | |
Committee | SIS |
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Conference Date | 2021/3/4(2days) |
Place (in Japanese) | (See Japanese page) |
Place (in English) | Online |
Topics (in Japanese) | (See Japanese page) |
Topics (in English) | Soft Computing, etc. |
Chair | Noriaki Suetake(Yamaguchi Univ.) |
Vice Chair | Tomoaki Kimura(Kanagawa Inst. of Tech.) / Naoto Sasaoka(Tottori Univ.) |
Secretary | Tomoaki Kimura(Kindai Univ.) / Naoto Sasaoka(National Inst. of Tech., Ube College) |
Assistant | Yukihiro Bandoh(NTT) / Soh Yoshida(Kansai Univ.) |
Paper Information | |
Registration To | Technical Committee on Smart Info-Media Systems |
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Language | JPN |
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 |
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.) |
Date | 2021-03-04 |
Paper # | SIS2020-45 |
Volume (vol) | vol.120 |
Number (no) | SIS-415 |
Page | pp.pp.55-60(SIS), |
#Pages | 6 |
Date of Issue | 2021-02-25 (SIS) |