Research of orthodontic soft tissue profile prediction based on conditional generative adversarial networks.

Journal: Journal of dentistry
PMID: 39864612

Abstract

OBJECTIVE: This study constructed a new conditional generative adversarial network (CGAN) model to predict changes in lateral appearance following orthodontic treatment.

Authors

  • Beiwen Gong
    Department of Orthodontics, School of Stomatology, Capital Medical University, Beijing 100070, China.
  • Qiao Chang
    Department of Orthodontics, School of Stomatology, Capital Medical University, Beijing, China.
  • Tianlei Shi
    Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, Jiangsu, China.
  • Shaofeng Wang
    Department of Orthodontics, School of Stomatology, Capital Medical University, Beijing, China.
  • Yajie Wang
    Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China.
  • Feifei Zuo
    LargeV Instrument Corp., Ltd., Beijing 100084, China.
  • Xianju Xie
    Department of Orthodontics, School of Stomatology, Capital Medical University, Beijing, China.
  • Yuxing Bai
    Department of Orthodontics, School of Stomatology, Capital Medical University, Beijing 100050, China.

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