Discriminating glioblastomas from metastases in a SV1H-MRS brain tumour database
Enrique Romero Merino, Alfredo Vellido, Margarida Julià‐Sapé, Carles Arús · 2009
A Feature Selection (FS) process with a simple Machine Learning method, namely the Single-Layer Perceptron (SLP), is shown to discriminate metastases from glioblastomas with high accuracy using single voxel H-MRS from an international, multi-centre database of brain tumors. The method has low computational cost and its results are intuitively interpretable.