DERMA: A melanoma diagnosis platform based on collaborative multilabel analog reasoning

Ruben Nicolas*, Albert Fornells, Elisabet Golobardes, Guiomar Corral, Susana Puig, Josep Malvehy

*Autor correspondiente de este trabajo

Producción científica: Artículo en revista indizadaArtículorevisión exhaustiva

2 Citas (Scopus)

Resumen

The number of melanoma cancer-related death has increased over the last few years due to the new solar habits. Early diagnosis has become the best prevention method. This work presents a melanoma diagnosis architecture based on the collaboration of several multilabel case-based reasoning subsystems called DERMA. The system has to face up several challenges that include data characterization, pattern matching, reliable diagnosis, and self-explanation capabilities. Experiments using subsystems specialized in confocal and dermoscopy images have provided promising results for helping experts to assess melanoma diagnosis.

Idioma originalInglés
Número de artículo351518
PublicaciónThe Scientific World Journal
Volumen2014
DOI
EstadoPublicada - 2014

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