Título:
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DERMA: A Melanoma Diagnosis Platform Based on Collaborative Multilabel Analog Reasoning
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Autor/a:
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Fornells Herrera, Albert; Golobardes, Elisabet; Corral Torruella, Guiomar; Puig, Susana; Malvehy, Josep; Nicolàs Sans, Rubén
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Otros autores:
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Universitat Ramon Llull. La Salle; Hospital Clínic i Provincial de Barcelona. Departament de Dermatologia. Unitat de Melanoma |
Abstract:
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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 diagnosishas become the best prevention method. This work presents a melanoma diagnosis architecture based on the collaboration ofseveral multilabel case-based reasoning subsystems called DERMA. The system has to face up several challenges that include datacharacterization, pattern matching, reliable diagnosis, and self-explanation capabilities. Experiments using subsystems specializedin confocal and dermoscopy images have provided promising results for helping experts to assess melanoma diagnosis. |
Fecha de creación:
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01-2014 |
Materia(s):
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Melanoma Dermatologia |
Derechos:
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L'accés als continguts d'aquest document queda condicionat a l'acceptació de les condicions d'ús establertes per la següent llicència Creative Commons:http://creativecommons.org/licenses/by/4.0/
© L'autor/a |
Páginas:
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11 p. |
Tipo de documento:
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Artículo Artículo - Versión publicada |
DOI:
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http://dx.doi.org/10.1155/2014/351518
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Editor:
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Hindawi Publishing Corporation
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Publish at:
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The Scientific World Journal. 2014
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Compartir:
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