DERMA: A Melanoma Diagnosis Platform Based on Collaborative Multilabel Analog Reasoning

الملخص EN

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.