Comparison of 3 deep learning neural networks for classifying the relationship between the mandibular third molar and the mandibular canal on panoramic radiographs.

Abstract

Authors

• Motoki Fukuda
  Department of Oral Radiology, School of Dentistry, Osaka Dental University, Osaka, Japan.
• Yoshiko Ariji
  Department of Oral Radiology, School of Dentistry, Osaka Dental University, Osaka, Japan.
• Yoshitaka Kise
  Department of Oral and Maxillofacial Radiology, Aichi Gakuin University School of Dentistry, Nagoya, Japan.
• Michihito Nozawa
  Department of Oral and Maxillofacial Radiology, Aichi-Gakuin University School of Dentistry, 2-11 Suemori-dori, Chikusa-ku, Nagoya, 464-8651, Japan.
• Chiaki Kuwada
  Department of Oral and Maxillofacial Radiology, Aichi Gakuin University School of Dentistry, Nagoya, Japan.
• Takuma Funakoshi
  Department of Oral and Maxillofacial Radiology, Aichi-Gakuin University School of Dentistry, 2-11 Suemori-dori, Chikusa-ku, Nagoya, 464-8651, Japan.
• Chisako Muramatsu
  Department of Intelligent Image Information, Graduate School of Medicine, Gifu University, 1-1 Yanagido, Gifu, Gifu 501-1194, Japan. Electronic address: chisa@fjt.info.gifu-u.ac.jp.
• Hiroshi Fujita
  Department of Intelligent Image Information, Division of Regeneration and Advanced Medical Sciences, Graduate School of Medicine, Gifu University, 1-1 Yanagido, Gifu 501-1194, Japan.
• Akitoshi Katsumata
• Eiichiro Ariji
  Department of Oral and Maxillofacial Radiology, Aichi Gakuin University School of Dentistry, Nagoya, Japan.

Keywords

External Resources