Fully automated film mounting in dental radiography: a deep learning model.

Journal: BMC medical imaging
PMID: 37596563

Abstract

BACKGROUND: Dental film mounting is an essential but time-consuming task in dental radiography, with manual methods often prone to errors. This study aims to develop a deep learning (DL) model for accurate automated classification and mounting of both intraoral and extraoral dental radiography.

Authors

  • Yu-Chun Lin
    Department of Medical Imaging and Intervention, Chang Gung Memorial Hospital, Linkou, Chang Gung University, Taoyuan, Taiwan.
  • Meng-Chi Chen
    Department of Dentistry, Chang Gung Memorial Hospital at Taipei, Taipei, Taiwan.
  • Cheng-Hsueh Chen
    Department of Dentistry, National Taiwan University Hospital, Hsin-Chu Branch, Hsin-Chu, Taiwan.
  • Mu-Hsiung Chen
    Department of Dentistry, National Taiwan University Hospital, Taipei, Taiwan.
  • Kang-Yi Liu
    Department of Electrical Engineering, National Taipei University of Technology, 1, Sec. 3, Zhongxiao E. Rd, Taipei, 10608, Taiwan.
  • Cheng-Chun Chang
    Department of Electrical Engineering, National Taipei University of Technology, Taipei 10608, Taiwan.

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