在一个亚洲女性群体中,通过可解释的机器学习辅助方法解读中脸部缩或突起的尾形态机制

Kang Wang1, Yi-Hao Qiao2, Zhou-Jie Gong3

  • 1State Key Laboratory of Oral Diseases and National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, China; Department of Plastic and Burn Surgery, West China Hospital, Sichuan University, Chengdu, China; Department of Plastic and Reconstructive Surgery, Shanghai Ninth People's Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.

概括

机器学习方法准确诊断中部面部形态,分类平衡的面部,中部面部缩或大突起. 该系统通过识别骨和牙异常,有助于面部美学,有助于治疗规划.