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2014-01-21

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cc-by (c) Nicolas, Ruben et al., 2014
Please use this identifier to cite or link to this item: https://hdl.handle.net/2445/120095

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

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https://doi.org/10.1155/2014/351518

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.

Subject

Melanoma, Diagnòstic, Microscòpia mèdica, Mortalitat, Càncer de pell

Subject (English)

Melanoma, Diagnosis, Medical microscopy, Mortality, Skin cancer

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Articles publicats en revistes (Medicina)

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NICOLAS, Ruben, et al. DERMA: A melanoma diagnosis platform based on collaborative multilabel analog reasoning. Scientific World Journal. 2014. Vol. 2014, num. 351518. ISSN 1537-744X. [consulted: 9 of August of 2026]. Available at: https://hdl.handle.net/2445/120095

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