Deep learning for preliminary profiling of panoramic images.

Journal: Oral radiology
Published Date: Jun 27, 2022

Abstract

OBJECTIVE: This study explored the feasibility of using deep learning for profiling of panoramic radiographs.

Authors

  • Kiyomi Kohinata
    Department of Oral Radiology, Asahi University School of Dentistry, 1851 Hozumi, Mizuho-city, Gifu, 501-0296, Japan.
  • Tomoya Kitano
    Department of Oral Radiology, Asahi University School of Dentistry, 1851 Hozumi, Mizuho-city, Gifu, 501-0296, Japan.
  • Wataru Nishiyama
  • Mizuho Mori
    Department of Oral and Maxillofacial Radiology, Aichi Gakuin University School of Dentistry, Nagoya, Japan.
  • Yukihiro Iida
    Department of Oral Radiology, Asahi University School of Dentistry, 1851 Hozumi, Mizuho-city, Gifu, 501-0296, 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

Keywords

External Resources

Popular Topics
Recent Journals