Machine learning in orthodontics: .

Journal: The Angle orthodontist
PMID: 31403836

Abstract

OBJECTIVES: To (1) introduce a novel machine learning method and (2) assess maxillary structure variation in unilateral canine impaction for advancing clinically viable information.

Authors

  • Si Chen
    Department of Pharmacy, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China.
  • Li Wang
    College of Marine Electrical Engineering, Dalian Maritime University, Dalian, China.
  • Gang Li
    The Centre for Cyber Resilience and Trust, Deakin University, Australia.
  • Tai-Hsien Wu
  • Shannon Diachina
  • Beatriz Tejera
  • Jane Jungeun Kwon
  • Feng-Chang Lin
  • Yan-Ting Lee
  • Tianmin Xu
  • Dinggang Shen
    School of Biomedical Engineering, ShanghaiTech University, Shanghai, China.
  • Ching-Chang Ko

Keywords

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