The application of deep learning in early enamel demineralization detection.

Abstract

Authors

• Ketai He
  State Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, China.
• Rongxiu Zhang
  Department of Stomatology, The First Affiliated Hospital of Bengbu Medical University, Chengdu, China.
• Muchun Liang
  State Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, China.
• Keyue Tian
  State Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, China.
• Kaihui Luo
  State Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, China.
• Ruoshi Chen
  Chengdu Boltzmann Intelligence Technology Co., Ltd, Chengdu, China.
• Jianpeng Ren
  Chengdu Boltzmann Intelligence Technology Co., Ltd, Chengdu, China.
• Jiajun Wang
  School of Electronic and Information Engineering, Soochow University, Suzhou 215006, People's Republic of China.
• Juan Li
  Department of Hygienic Inspection, School of Public Health, Jilin University 1163 Xinmin Street Changchun 130021 Jilin China songxiuling@jlu.edu.cn li_juan@jlu.edu.cn jinmh@jlu.edu.cn +86 43185619441.

Keywords

External Resources