Pattern discovery in melanoma domain using partitional clustering

David Vernet, Ruben Nicolas, Elisabet Golobardes, Albert Fornells, Carles Garriga, Susana Puig, Josep Malvehy

Producció científica: Capítol de llibreContribució a congrés/conferènciaAvaluat per experts

2 Cites (Scopus)

Resum

Nowadays melanoma is one of the most important cancers to study due to its social impact. This dermatologic cancer has increased its frequency and mortality during last years. In particular, mortality is around twenty percent in non early detected ones. For this reason, the aim of medical researchers is to improve the early diagnosis through a best melanoma characterization using pattern matching. This article presents a new way to create real melanoma patterns in order to improve the future treatment of the patients. The approach is a pattern discovery system based on the K-Means clustering method and validated by means of a Case-Based Classifier System.

Idioma originalAnglès
Títol de la publicacióArtificial Intelligence Research and Development. Proceedings of the 11th International Conference of the Catalan Association for Artificial Intelligence
EditorIOS Press
Pàgines323-330
Nombre de pàgines8
Edició1
ISBN (imprès)9781586039257
DOIs
Estat de la publicacióPublicada - 2008

Sèrie de publicacions

NomFrontiers in Artificial Intelligence and Applications
Nombre1
Volum184
ISSN (imprès)0922-6389

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