An open Internet platform to distributed image processing applied to dermoscopy.

Proprietary systems for dermoscopy images analysis are available to improve the diagnosis and follow-up of the pigmented skin lesions. Their performance seems comparable with that of a human expert. Progress in computer-aided classification of melanocytic lesions depends notably on judicious choices of the algorithms dedicated to the extraction of signs from the dermoscopy images and of the method which combines these signs to classify the lesions.

Validation of segmentation techniques for digital dermoscopy.

Purpose: This study aims at evaluating two automatic contour detection techniques especially developed for dermoscopic images.

Methods: Twenty-five images of lesions with a fuzzy boundary have been randomly selected. Five dermatologists experienced in dermoscopy have manually drawn the border of all the lesions and repeated the procedure after two and four weeks.