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Multi-scale analysis of skin hyper-pigmentation evolution

Sylvain Prigent 1, 2 Xavier Descombes 1 Didier Zugaj 3 Laurent Petit 3 Josiane Zerubia 2 
1 MORPHEME - Morphologie et Images
CRISAM - Inria Sophia Antipolis - Méditerranée , IBV - Institut de Biologie Valrose : U1091, Laboratoire I3S - SIS - Signal, Images et Systèmes
Abstract : In this paper, we use statistical inference and muti-spectral images to quantify the evolution of skin hyper-pigmentation lesions under treatment. We show that statistical inference allows getting change maps of the disease which can be useful for dermatologists to analyze the disease evolution. Indeed, a local change map is obtained by computing the deviation between two multi-spectral images in a region of interest (ROI). Then, we normalize the obtained map and develop a statistical inference framework to quantify the changes. Finally, we propose a criterion that integrates change maps in order to quantify the treatment efficacy on a patient.
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Submitted on : Tuesday, October 1, 2013 - 9:29:42 AM
Last modification on : Thursday, August 4, 2022 - 4:55:02 PM
Long-term archiving on: : Thursday, January 2, 2014 - 3:20:17 AM


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  • HAL Id : hal-00841460, version 1



Sylvain Prigent, Xavier Descombes, Didier Zugaj, Laurent Petit, Josiane Zerubia. Multi-scale analysis of skin hyper-pigmentation evolution. ICIP - International Conf. on Image Processing, Sep 2013, Melbourne, Australia. ⟨hal-00841460⟩



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