Incremental Learning with SVM for Multimodal Classification of Prostatic Adenocarcinoma

Robust detection of prostatic cancer is a challenge due to the multitude of variants and their representation in MR images. We propose a pattern recognition system with an incremental learning ensemble algorithm using support vector machines (SVM) tackling this problem employing multimodal MR images...

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Detalles Bibliográficos
Autores principales: García Molina, José Fernando, Zheng, Lei, Sertdemir, Metin, Dinter, Dietmar J., Schönberg, Stefan, Rädle, Matthias
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3974761/
https://www.ncbi.nlm.nih.gov/pubmed/24699716
http://dx.doi.org/10.1371/journal.pone.0093600

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3974761/
https://www.ncbi.nlm.nih.gov/pubmed/24699716
http://dx.doi.org/10.1371/journal.pone.0093600

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