Feature Selection with Single-Layer Perceptrons for a Multicentre 1H-MRS Brain Tumour Database

Authors:
Enrique Romero;Alfredo Vellido;Josep María Sopena
Affiliations:
Departament de Llenguatges i Sistemes Informàtics, Universitat Politècnica de Catalunya,;Departament de Llenguatges i Sistemes Informàtics, Universitat Politècnica de Catalunya,;Laboratori de Neurocomputació, Universitat de Barcelona,
Venue:
IWANN '09 Proceedings of the 10th International Work-Conference on Artificial Neural Networks: Part I: Bio-Inspired Systems: Computational and Ambient Intelligence
Year:
2009

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Abstract

A Feature Selection process with Single-Layer Perceptrons is shown to provide optimum discrimination of an international, multi-centre 1H-MRS database of brain tumors at reasonable computational cost. Results are both intuitively interpretable and very accurate. The method remains simple enough as to allow its easy integration in existing medical decision support systems.