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Title:
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Classification, dimensionality reduction, and maximally discriminatory visualization of a multicentre 1H-MRS database of brain tumors
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Author:
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Lisboa, Paulo J.G.; Romero Merino, Enrique; Vellido Alcacena, Alfredo; Julià Sapé, Margarida; Arús, Carles
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Other authors:
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Universitat Politècnica de Catalunya. Departament de Llenguatges i Sistemes Informàtics; Universitat Politècnica de Catalunya. SOCO - Soft Computing |
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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. |
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Abstract:
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Peer Reviewed |
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Subject(s):
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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) |
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Rights:
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Document type:
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Article - Published version
Conference Object |
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Published by:
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IEEE
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