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cc-by (c) Nicolas, Ruben et al., 2014
Si us plau utilitzeu sempre aquest identificador per citar o enllaçar aquest document: https://hdl.handle.net/2445/120095

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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NICOLAS, Ruben, FORNELLS, Albert, GOLOBARDES, Elisabet, CORRAL, Guiomar, PUIG I SARDÀ, Susana, MALVEHY, J. (josep). DERMA: A melanoma diagnosis platform based on collaborative multilabel analog reasoning. _Scientific World Journal_. 2014. Vol. 2014, núm. 351518. [consulta: 23 de gener de 2026]. ISSN: 1537-744X. [Disponible a: https://hdl.handle.net/2445/120095]

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