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

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

*Corresponding author for this work

Research output: Indexed journal article Articlepeer-review

2 Citations (Scopus)

Abstract

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.

Original languageEnglish
Article number351518
JournalThe Scientific World Journal
Volume2014
DOIs
Publication statusPublished - 2014

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