Vicente Robledo, Javier; Fuster García, Elíes; Tortajada Velert, Salvador; García Gómez, Juan Miguel; Davies, Nigel; Natarajan, Kal; Wilson, Martin; Grundy, Richard G.; Wesseling, Pieter; Monleón, Daniel; Celda, Bernardo; Robles, Montserrat; Peet, Andrew C.(Elsevier, 2013-02)
Aims: To evaluate the accuracy of single-voxel Magnetic Resonance
Spectroscopy (1H-MRS) as a non-invasive diagnostic aid for pediatric brain
tumours in a multi-national study. Our hypotheses are (1) that automated
cla ...
In the last decade, machine learning (ML) techniques have been used for developing classifiers for automatic brain tumour diagnosis. However, the development of these ML models rely on a unique training set and learning ...