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Two newly developed indices evaluating facial skin aging.

Sangseob LeemKi-Nam GuYunkwan KimEuitaek JeongJun-Man LimNae Gyu Kang
Published in: Journal of cosmetic dermatology (2022)
We suggest two novel indices for evaluating facial aging based on frontal face images. The indices exhibited strong correlations with age and representative facial skin characteristics. The newly developed values can be differentiated indicators of facial aging compared with general skin features.
Keyphrases
  • soft tissue
  • deep learning
  • optical coherence tomography
  • machine learning
  • convolutional neural network