Detection of melanoma from dermoscopic images of naevi acquired under uncontrolled conditions

Arthur Tenenhaus (1) , Alex Nkengne (2) , Jean-Francois Horn (3, 4) , Camille Serruys (3, 4) , Alain Giron (3, 4) , Bernard Fertil (5)

1 E3S - Supélec Sciences des Systèmes
2 Johnson & Johnson
3 LIF - Laboratoire d'Imagerie Fonctionnelle
4 UPMC - Université Pierre et Marie Curie - Paris 6
5 LSIS - Laboratoire des Sciences de l'Information et des Systèmes

Several systems for the diagnosis of melanoma from images of naevi obtained under controlled conditions have demonstrated comparable efficiency with dermatologists. However, their robustness to analyze daily routine images was sometimes questionable. The purpose of this work is to investigate to what extent the automatic melanoma diagnosis may be achieved from the analysis of uncontrolled images of pigmented skin lesions.

Domaines: Ingénierie biomédicale; Traitement du signal et de l'image [eess.SP]; Autres [stat.ML]; Traitement du signal et de l'image [eess.SP]

Arthur Tenenhaus, Alex Nkengne, Jean-Francois Horn, Camille Serruys, Alain Giron, et al.. Detection of melanoma from dermoscopic images of naevi acquired under uncontrolled conditions. Skin Research and Technology, 2009, Vol. 16 (N° 1), pp. 85-97. ⟨hal-00446575v1⟩