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An automatic procedure that grades some facial skin structural signs: agreements and validation with clinical assessments made by dermatologists
Author(s) -
Flament F.,
Hofmann M.,
Roo E.,
RaimbaultGerard C.,
Chuberre B.,
Zhang Y.,
Jiang R.,
Kezele I.,
Zhang J.,
Elmozino E.,
Coquide J.,
Arcin V.,
Aarabi P.
Publication year - 2019
Publication title -
international journal of cosmetic science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.532
H-Index - 62
eISSN - 1468-2494
pISSN - 0142-5463
DOI - 10.1111/ics.12563
Subject(s) - medicine , dermatology , scoring system , skin color , artificial intelligence , surgery , computer science
Objective To confirm the robustness and validity of an automatic scoring system, algorithm‐based, that grades the severity of nine facial signs through “selfies” smartphones pictures taken by European Caucasian women through dermatological assessments. Methods 157 Caucasian women from three countries (France, Germany, Spain), of different ages (20–75 years), took one “selfie” image by the frontal camera of their smartphones whereas local dermatologists photographed them with the back camera of the same smartphone. The same nine facial signs of these subjects were initially graded by these local dermatologists, using referential Skin Aging Atlases. All 314 “selfies” images were then further automatically analyzed by the algorithm. The severity of facial signs (wrinkles, pigmentation, ptosis, skin folds etc.) were statistically compared to the assessments made by the three dermatologists, taken as ground truth. Results Highly significant coefficients of correlation ( P < 0.001) were found in the three cohorts between the grades provided by the system and those from dermatologists in live. The back camera – of a better resolution than the frontal one – seems affording slightly more significant correlations. However, although significantly correlated, the signs of vascular disorders and cheek skin pores present some disparities that are likely linked to the technical diversity of smartphones or self‐shootings, leading to lower coefficients of correlations. Conclusion This automatic scoring system offers a promising approach in the harmonization of Dermatological assessments of skin facial signs and their changes with age or the follow up of anti‐aging treatments.