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

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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.

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Articles publicats en revistes (Medicina)

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