DERMA: A Melanoma Diagnosis Platform Based on Collaborative Multilabel Analog Reasoning
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 ca...
| Autores: | , , , , , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2013 |
| País: | España |
| Institución: | Universitat Ramon Llull (URL) |
| Repositorio: | DAU Arxiu Digital de la Universitat Ramon Llull |
| OAI Identifier: | oai:dau.url.edu:20.500.14342/3387 |
| Acceso en línea: | http://hdl.handle.net/20.500.14342/3387 http://dx.doi.org/10.1155/2014/351518 |
| Access Level: | acceso abierto |
| Palabra clave: | Melanoma Dermatologia |
| Sumario: | 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. |
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