Efficacy of a deep leaning model created with the transfer learning method in detecting sialoliths of the submandibular gland on panoramic radiography.

Journal: Oral surgery, oral medicine, oral pathology and oral radiology
Published Date: Feb 1, 2022

Abstract

OBJECTIVE: This study aimed to compare the performance of 3 deep learning models, including a model constructed with the transfer learning method, in detecting submandibular gland sialoliths on panoramic radiographs.

Authors

  • Kenichiro Ishibashi
    Department of Maxillofacial Surgery, Aichi-Gakuin University School of Dentistry, Nagoya, Japan.
  • Yoshiko Ariji
    Department of Oral Radiology, School of Dentistry, Osaka Dental University, Osaka, Japan.
  • Chiaki Kuwada
    Department of Oral and Maxillofacial Radiology, Aichi Gakuin University School of Dentistry, Nagoya, Japan.
  • Masashi Kimura
    Department of Maxillofacial Surgery, School of Dentistry, Aichi Gakuin University, Chikusa-ku, Nagoya, Japan; Department of Oral and Maxillofacial Surgery, Ogaki Municipal Hospital, Ogaki, Gifu, Japan.
  • Kengo Hashimoto
    Department of Oral and Maxillofacial Surgery, Ogaki Municipal Hospital, Ogaki, Gifu, Japan.
  • Masahiro Umemura
    Department of Oral and Maxillofacial Surgery, Ogaki Municipal Hospital, Ogaki, Japan.
  • Toru Nagao
    Department of Maxillofacial Surgery, Aichi-Gakuin University School of Dentistry, Nagoya, Japan.
  • Eiichiro Ariji
    Department of Oral and Maxillofacial Radiology, Aichi Gakuin University School of Dentistry, Nagoya, Japan.

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