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7 April 2023 Recognition of tooth numbers and conditions on dental panoramic radiographs for assisting dental chart filing
Chisako Muramatsu, Koki Sakai, Yuta Seino, Ryo Takahashi, Tatsuro Hayashi, Wataru Nishiyama, Xiangrong Zhou, Takeshi Hara, Akitoshi Katsumata, Hiroshi Fujita
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Proceedings Volume 12465, Medical Imaging 2023: Computer-Aided Diagnosis; 1246539 (2023) https://doi.org/10.1117/12.2655306
Event: SPIE Medical Imaging, 2023, San Diego, California, United States
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Abstract
Dental panoramic radiographs are often obtained at dental clinic visits for diagnosis and recording purposes. Automated filing of dental charts can help dentists in reducing their workload and improving diagnostic efficiency. The purpose of this study is to develop a system that prerecords a dental chart by recognizing teeth with their numbers and restoration history on dental panoramic radiographs. The proposed system uses YOLO which detects 16 types of teeth and restoration conditions simultaneously. Based on the detected tooth types, they were further classified into 32 types and combined with the tooth conditions by post-processing. We tested our method on 870 panoramic images obtained at 10 different facilities by 5-fold cross validation. The proposed method obtained 0.99 recall and precision for recognition of 32 tooth types and 0.90 recall and 0.90 precision on determining the tooth condition. It has the potential to assist prefiling the dental charts for efficient dental care.
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Chisako Muramatsu, Koki Sakai, Yuta Seino, Ryo Takahashi, Tatsuro Hayashi, Wataru Nishiyama, Xiangrong Zhou, Takeshi Hara, Akitoshi Katsumata, and Hiroshi Fujita "Recognition of tooth numbers and conditions on dental panoramic radiographs for assisting dental chart filing", Proc. SPIE 12465, Medical Imaging 2023: Computer-Aided Diagnosis, 1246539 (7 April 2023); https://doi.org/10.1117/12.2655306
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KEYWORDS
Teeth
Panoramic photography
Radiography
Object detection
Cross validation
Diagnostics
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