Japanese experiment of a complete and objective automatic grading system of facial signs from selfie pictures: Validation with dermatologists and characterization of changes due to age and sun exposures.
Frederic FlamentDamien VellemanEri YamashitaAlexandre NicolasEmilie YokoyamaAyako ItayaYuze ZhangRuowei JiangPahram AarabiAurelie AbricAya NakadaYoko SagawaHaruna NishiharaAkimichi MoritaMatthieu CassierCaroline DelaunayPublished 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)
This work illustrates, for the first time through investigations conducted at home, some impacts of aging and sun exposures on facial signs of Japanese women. Results significantly confirm the importance of sun avoidance coupled with photo-protective measures. In epidemiological studies, the AI-based system offers a fast, affordable, and confidential approach in detection and quantification of facial signs and their dependence with ages, environments and lifestyles.