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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...
Autores principales: | García Molina, José Fernando, Zheng, Lei, Sertdemir, Metin, Dinter, Dietmar J., Schönberg, Stefan, Rädle, Matthias |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2014
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Materias: | |
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 |
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