Robust automated teeth identification from dental radiographs using deep learning.

Journal: Journal of dentistry
PMID: 37422206

Abstract

OBJECTIVES: This study developed and validated a deep learning-based method to automatically segment and number teeth in panoramic radiographs across primary, mixed, and permanent dentitions.

Authors

  • Mingming Xu
    Beijing Laboratory of Biomedical Materials, Department of Geriatric Dentistry, Peking, University School and Hospital of Stomatology, Beijing 100081, China.
  • Yujia Wu
    School of Mechatronic Engineering, Xi'an Technological University, Xi'an, 710021, China.
  • Zineng Xu
    R&D Department, Deepcare Inc., Beijing, China.
  • Peng Ding
    Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, China.
  • Hailong Bai
    R&D Department, Deepcare Inc., Beijing, China.
  • Xuliang Deng
    Beijing Laboratory of Biomedical Materials, Department of Geriatric Dentistry, Peking, University School and Hospital of Stomatology, Beijing 100081, China; Key Laboratory of Dental Material, National Medical Products Administration, Beijing 100081, China. Electronic address: kqdengxuliang@bjmu.edu.cn.

Keywords

External Resources

Popular Topics
Recent Journals