Títol:
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Classification, dimensionality reduction, and maximally discriminatory visualization of a multicentre 1H-MRS database of brain tumors
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Autor/a:
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Lisboa, Paulo J.G.; Romero Merino, Enrique; Vellido Alcacena, Alfredo; Julià Sapé, Margarida; Arús, Carles
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Altres autors:
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Universitat Politècnica de Catalunya. Departament de Llenguatges i Sistemes Informàtics; Universitat Politècnica de Catalunya. SOCO - Soft Computing |
Abstract:
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The combination of an Artificial Neural Network classifier, a feature selection process, and a novel linear dimensionality
reduction technique that provides a data projection for visualization and which preserves completely the class discrimination achieved by the classifier, is applied in this study to the analysis of an international, multi-centre 1H-MRS database of brain tumors. This combination yields results that are both intuitively interpretable and very accurate.
The method as a whole remains simple enough as to allow its easy integration in existing medical decision support systems. |
Abstract:
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Peer Reviewed |
Matèries:
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-Àrees temàtiques de la UPC::Informàtica::Aplicacions de la informàtica::Bioinformàtica -Brain tumors -Decision support systems -Neural networks (Computer science) -Brain -Database management systems -Feature extraction -Magnetic resonance spectroscopy -Medical diagnostic computing -Medical information systems -Neural nets -Tumours -Cervell -- Tumors -Sistemes d'ajuda a la decisió -Xarxes neuronals (Informàtica) |
Drets:
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Tipus de document:
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Article - Versió publicada Objecte de conferència |
Publicat per:
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IEEE
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Compartir:
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