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 original | Inglés |
---|---|
Número de artículo | 351518 |
Publicación | The Scientific World Journal |
Volumen | 2014 |
DOI | |
Estado | Publicada - 2014 |