Applying machine learning to assess the morphology of sculpted teeth.

Journal: Journal of dental sciences
Published Date:

Abstract

BACKGROUND/PURPOSE: Producing tooth crowns through dental technology is a basic function of dentistry. The morphology of tooth crowns is the most important parameter for evaluating its acceptability. The procedures were divided into four steps: tooth collection, scanning skills, use of mathematical methods and software, and machine learning calculation.

Authors

  • Fang-Yu Fan
    School of Dental Technology, College of Oral Medicine, Taipei Medical University, Taipei, Taiwan.
  • Wei-Chun Lin
    School of Dental Technology, College of Oral Medicine, Taipei Medical University, Taipei, Taiwan.
  • Huei-Yu Huang
    Department of Dentistry, Taipei Medical University-Shuang Ho Hospital, New Taipei City, Taiwan.
  • Yung-Kang Shen
    School of Dental Technology, College of Oral Medicine, Taipei Medical University, Taipei, Taiwan.
  • Yung-Chun Chang
    Graduate Institute of Data Science, College of Management, Taipei Medical University, Taipei, Taiwan.
  • Heng-Yu Li
    School of Dental Technology, College of Oral Medicine, Taipei Medical University, Taipei, Taiwan.
  • Muhammad Ruslin
    Department of Oral and Maxillofacial Surgery, Faculty of Dentistry, Hasanuddin University, Makassar, Indonesia.
  • Sheng-Yang Lee
    Department of Dentistry, Wan-Fang Hospital, Taipei Medical University, Taipei, Taiwan.

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