Presentation 2020-01-29
[Short Paper] Recognition of dentition using deep learning in dental panoramic X-ray images
Takumi Morishita, Chisako Muramatsu, Xiangrong Zhou, Ryo Takahashi, Tatsuro Hayashi, Wataru Nishiyama, Takeshi Hara, Yoshiko Ariji, Eiichiro Ariji, Akitoshi Katsumata, Hiroshi Fujita,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) Dental panoramic X-ray images are obtained at more than 98% of dental clinics in Japan. However, since all the teeth are depicted in the image, it takes a lot of time and effort for dentists to make an accurate image diagnosis of all teeth. The purpose of this study is to analyze dental panoramic X-ray images using deep learning, and to contribute to the diagnosis by dentists. As the initial stage, we detected teeth in images and classified their tooth types. We compared the accuracy of the Single Shot Multibox Detector (SSD) with that of the proposed method based on the SSD with a network branch. As a result, the proposed method exceeded the original SSD. The detection rate of the teeth was 96.5%, and the number of false detections was 0.32. The classification rate was 95.5% for 14 tooth types.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Dental panoramic X-ray images / Deep Learning / CAD
Paper # MI2019-81
Date of Issue 2020-01-22 (MI)

Conference Information
Committee MI
Conference Date 2020/1/29(2days)
Place (in Japanese) (See Japanese page)
Place (in English) OKINAWAKEN SEINENKAIKAN
Topics (in Japanese) (See Japanese page)
Topics (in English) Medical Image Engineering, Analysis, Recognition, etc.
Chair Yoshiki Kawata(Tokushima Univ.)
Vice Chair Takayuki Kitasaka(Aichi Inst. of Tech.) / Hidekata Hontani(Nagoya Inst. of Tech.)
Secretary Takayuki Kitasaka(Yamaguchi Univ.) / Hidekata Hontani(Univ. of Hyogo)
Assistant Hotaka Takizawa(Tsukuba Univ.) / Yoshito Otake(NAIST)

Paper Information
Registration To Technical Committee on Medical Imaging
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) [Short Paper] Recognition of dentition using deep learning in dental panoramic X-ray images
Sub Title (in English)
Keyword(1) Dental panoramic X-ray images
Keyword(2) Deep Learning
Keyword(3) CAD
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 Xiangrong Zhou
3rd Author's Affiliation Gifu University(Gifu Univ.)
4th Author's Name Ryo Takahashi
4th Author's Affiliation MEDIA(media)
5th Author's Name Tatsuro Hayashi
5th Author's Affiliation MEDIA(media)
6th Author's Name Wataru Nishiyama
6th Author's Affiliation Asahi University(Asahi Univ)
7th Author's Name Takeshi Hara
7th Author's Affiliation Gifu University(Gifu Univ.)
8th Author's Name Yoshiko Ariji
8th Author's Affiliation Aichi Gakuin University(Aichi Gakuin Univ.)
9th Author's Name Eiichiro Ariji
9th Author's Affiliation Aichi Gakuin University(Aichi Gakuin Univ.)
10th Author's Name Akitoshi Katsumata
10th Author's Affiliation Asahi University(Asahi Univ)
11th Author's Name Hiroshi Fujita
11th Author's Affiliation Gifu University(Gifu Univ.)
Date 2020-01-29
Paper # MI2019-81
Volume (vol) vol.119
Number (no) MI-399
Page pp.pp.73-74(MI),
#Pages 2
Date of Issue 2020-01-22 (MI)