Usefulness of a deep learning system for diagnosing Sjögren's syndrome using ultrasonography images.

Abstract

Authors

• Yoshitaka Kise
  Department of Oral and Maxillofacial Radiology, Aichi Gakuin University School of Dentistry, Nagoya, Japan.
• Mayumi Shimizu
  Department of Oral and Maxillofacial Radiology, Kyushu University Hospital, Fukuoka, Japan.
• Haruka Ikeda
  Department of Oral and Maxillofacial Radiology, Aichi Gakuin University, Nagoya, Japan.
• Takeshi Fujii
  Department of Oral and Maxillofacial Radiology, Aichi Gakuin University, Nagoya, Japan.
• Chiaki Kuwada
  Department of Oral and Maxillofacial Radiology, Aichi Gakuin University School of Dentistry, Nagoya, Japan.
• Masako Nishiyama
  Department of Oral and Maxillofacial Radiology, Aichi-Gakuin University School of Dentistry, 2-11 Suemori-dori, Chikusa-ku, Nagoya, 464-8651, 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.
• Yoshiko Ariji
  Department of Oral Radiology, School of Dentistry, Osaka Dental University, Osaka, Japan.
• 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
• Kazunori Yoshiura
  Department of Oral and Maxillofacial Radiology, Faculty of Dental Science, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka, 812-8582, Japan.
• Eiichiro Ariji
  Department of Oral and Maxillofacial Radiology, Aichi Gakuin University School of Dentistry, Nagoya, Japan.

Keywords

External Resources