Comparison of deep learning models for facial attractiveness assessment on 3D photos.

Journal: Journal of dentistry
PMID: 40199417

Abstract

OBJECTIVES: Convolutional neural networks (CNNs) have demonstrated remarkable success in orthodontics. This study aimed to evaluate the accuracy and precision of several prominent CNN models for evaluating the facial attractiveness in Chinese orthodontic patients aged 6-18 years.

Authors

  • Jieqiong Hu
    Department of Orthodontics, The Affiliated Stomatological Hospital Of Nanjing Medical University, State Key Laboratory Cultivation Base of Research, Prevention and Treatment for Oral Diseases, Jiangsu Province Engineering Research Center of Stomatological Translational Medicine, PR China. Electronic address: jieqhu@163.com.
  • Chunhong Wang
    Department of Orthodontics, The Affiliated Stomatological Hospital Of Nanjing Medical University, State Key Laboratory Cultivation Base of Research, Prevention and Treatment for Oral Diseases, Jiangsu Province Engineering Research Center of Stomatological Translational Medicine, PR China. Electronic address: 18879405264@163.com.
  • Qinyuan Qu
    Department of Orthodontics, The Affiliated Stomatological Hospital Of Nanjing Medical University, State Key Laboratory Cultivation Base of Research, Prevention and Treatment for Oral Diseases, Jiangsu Province Engineering Research Center of Stomatological Translational Medicine, PR China. Electronic address: quqinyuan@sina.com.
  • Qingyi Li
    Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.

Keywords

External Resources

Popular Topics
Recent Journals