Deep learning methods for fully automated dental age estimation on orthopantomograms.

Journal: Clinical oral investigations
Published Date: Mar 7, 2024

Abstract

OBJECTIVES: This study aimed to use all permanent teeth as the target and establish an automated dental age estimation method across all developmental stages of permanent teeth, accomplishing all the essential steps of tooth determination, tooth development staging, and dental age assessment.

Authors

  • Yuchao Shi
    Department of Oral Medical Imaging, State Key Laboratory of Oral Diseases, National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, 3rd Section South Renmin Road 14#, Chengdu, 610041, China.
  • Zelin Ye
    Department of Oral Medical Imaging, State Key Laboratory of Oral Diseases, National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, 3rd Section South Renmin Road 14#, Chengdu, 610041, China.
  • Jixiang Guo
  • Yueting Tang
    Department of Oral Medical Imaging, State Key Laboratory of Oral Diseases, National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, 3rd Section South Renmin Road 14#, Chengdu, 610041, China.
  • Wenxuan Dong
    Machine Intelligence Laboratory, College of Computer Science, Sichuan University, Chengdu, 610065, China.
  • Jiaqi Dai
    Department of Oral Radiology, Sichuan Hospital of Stomatology, Chengdu, 610015, China.
  • Yu Miao
    Software College, Northeastern University, Shenyang, 110819, China.
  • Meng You
    Department of Oral Medical Imaging, State Key Laboratory of Oral Diseases, National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, 3rd Section South Renmin Road 14#, Chengdu, 610041, China. youmeng@scu.edu.cn.

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