Automatic labeling of facial zones for digital clinical application: An ensemble of semantic segmentation models.

Journal: Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI)
Published Date:

Abstract

INTRODUCTION: The application of artificial intelligence to facial aesthetics has been limited by the inability to discern facial zones of interest, as defined by complex facial musculature and underlying structures. Although semantic segmentation models (SSMs) could potentially overcome this limitation, existing facial SSMs distinguish only three to nine facial zones of interest.

Authors

  • Rafael Tuazon
    AbbVie, Irvine, California, USA.
  • Siavash Mortezavi
    AbbVie, Irvine, California, USA.