Clinical validation of a computer‐based approach for the quantification of the skin ageing process of women using in vivo confocal microscopy

Julie Robic (1, 2) , Alex Nkengne (2) , Benjamin Perret (1, 3) , Michel Couprie (1) , Hugues Talbot (4, 5, 6) , Giovanni Pellacani (7) , Katell Vie (2)

1 LIGM - Laboratoire d'Informatique Gaspard-Monge
2 Laboratoires Clarins
3 ESIEE Paris
4 OPIS - OPtimisation Imagerie et Santé
5 CentraleSupélec
6 Université Paris-Saclay
7 UNIMORE - Università degli Studi di Modena e Reggio Emilia = University of Modena and Reggio Emilia

Reflectance confocal microscopy (RCM) is a powerful tool to visualize the skin layers at cellular resolution up to a depth of 200µm. A semi-quantitative score of skin aging from RCM images has been previously published, requiring visual assessment of the images by experienced dermatologists. In this article we propose new computer-based methods to automatically quantify the skin aging process on RCM image.

Mots clés: Reflectance confocal microscopy; Mathematical morphology; Graphical models

Domaines: Traitement des images [eess.IV]; Algorithme et structure de données [cs.DS]; Bio-informatique [q-bio.QM]; Optimisation et contrôle [math.OC]

Julie Robic, Alex Nkengne, Benjamin Perret, Michel Couprie, Hugues Talbot, et al.. Clinical validation of a computer‐based approach for the quantification of the skin ageing process of women using in vivo confocal microscopy. Journal of the European Academy of Dermatology and Venereology, 2021, 35 (1), ⟨10.1111/jdv.16810⟩. ⟨hal-03144931⟩