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The continuous development of a complete and objective automatic grading system of facial signs from selfie pictures: Asian validation study and application to women of three ethnic origins, differently aged.

Frederic FlamentYang Won LeeDong Hun LeeThierry PasseronYuze ZhangRuowei JiangAnne PrunelSeema DwivediCamille KroelyYoun Jung ParkBertrand ChuberreParham Aarabi
Published in: 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) (2020)
The previously used automatic grading system is now completed by adding new facial signs apt at being detected. The continuous development is now integrating some limitations with regard to the constitutive skin complexion of the self-pictured subjects. Presenting reproducible assessments, highly correlated with medical grading, this system could change tremendously clinical researches, like in epidemiological studies, where it offers an easy, fast, affordable, and confidential approach in the objective quantification of facial signs.
Keyphrases
  • soft tissue
  • deep learning
  • healthcare
  • polycystic ovary syndrome
  • type diabetes
  • pregnant women
  • skeletal muscle
  • case control
  • insulin resistance