3D evaluation model of facial aesthetics based on multi-input 3D convolution neural networks for orthognathic surgery.

Journal: The international journal of medical robotics + computer assisted surgery : MRCAS
PMID: 38872448

Abstract

BACKGROUND: Quantitative evaluation of facial aesthetics is an important but also time-consuming procedure in orthognathic surgery, while existing 2D beauty-scoring models are mainly used for entertainment with less clinical impact.

Authors

  • Qingchuan Ma
    Department of Oral-Maxillofacial Surgery and Orthodontics, The University of Tokyo Hospital, Tokyo, Japan.
  • Etsuko Kobayashi
    Institute of Advanced BioMedical Engineering and Science, Tokyo Women's Medical University, Tokyo, Japan.
  • Siao Jin
    Department of Precision Engineering, The University of Tokyo, Tokyo, Japan.
  • Ken Masamune
    Faculty of Advanced Techno-Surgery, Institute of Advanced Biomedical Engineering and Science, Tokyo Women's Medical University, 8-1 Kawada-cho, Shinjuku-ku, Tokyo, 162-8666, Japan.
  • Hideyuki Suenaga
    Department of Oral-Maxillofacial Surgery and Orthodontics, The University of Tokyo Hospital, Tokyo, Japan.

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