Skin lesion evaluation from multispectral images

Sylvain Prigent; Xavier Descombes; Didier Zugaj; Laurent Petit; Anne-Sophie Dugaret; Philippe Martel; Josiane Zerubia

hal-00757039, version 1

Skin lesion evaluation from multispectral images

Sylvain Prigent () ^1, 2, Xavier Descombes ¹, Didier Zugaj ³, Laurent Petit ³, Anne-Sophie Dugaret ³, Philippe Martel ³, Josiane Zerubia ²

N° RR-8136 (2012)

Résumé : During evaluation of skin disease treatments, dermatologists have to clinically measure the pathology severity of each patient during treatment periods. Such a process is sensitive to intra- and inter- dermatologist diagnosis. To make this severity measurement more robust we propose to use image processing to quantify the pathology severity. We focus on a hyperpigmentation disorder called melasma. During a treatment period, multispectral images are taken on patients receiving the same treatment. After co-registration and classification steps, we propose algorithms to measure the intensity, the size and the homogeneity evolution of the pathological area. Obtained results are compared with a dermatologist diagnosis using statistical tests on a full clinical study.

1 : MORPHEME (INRIA Sophia Antipolis / Laboratoire I3S / IBV)
INRIA – CNRS : UMR7271 – Université Nice Sophia Antipolis [UNS] – INSERM : U1091
2 : AYIN (INRIA Sophia Antipolis)
INRIA
3 : GALDERMA R&D
GALDERMA R&D

hal-00757039, version 1
http://hal.inria.fr/hal-00757039
oai:hal.inria.fr:hal-00757039
Contributeur : Sylvain Prigent <>
Soumis le : Lundi 26 Novembre 2012, 09:33:06
Dernière modification le : Mardi 8 Janvier 2013, 15:20:09

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