Deep learning-based automated detection of the dental crown finish line: An accuracy study.

Journal: The Journal of prosthetic dentistry
PMID: 38097424

Abstract

STATEMENT OF PROBLEM: The marginal fit of dental prostheses is a clinically significant issue, and dental computer-aided design software programs use automated methods to expedite the extraction of finish lines. The accuracy of these automated methods should be evaluated.

Authors

  • Jinhyeok Choi
    PhD Candidate, Department of Biomedical Sciences, Seoul National University, Seoul, Republic of Korea.
  • Junseong Ahn
    Master's Candidate, Department of Computer Science, Korea University, Seoul, Republic of Korea.
  • Ji-Man Park
    Department of Prosthodontics & Dental Research Institute, Seoul National University School of Dentistry, Seoul 03080, Republic of Korea.

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