Artificial Intelligence in Medicine vol:40 issue:2 pages:87-102
Objective: This study investigates the use of automated pattern recognition methods on magnetic resonance data with the ultimate goat to assist clinicians in the diagnosis of brain tumours. Recently, the combined use of magnetic resonance imaging (MRI) and magnetic resonance spectroscopic imaging (MRSI) has demonstrated to improve the accuracy of classifiers. In this paper we extend previous work that only uses binary classifiers to assess the type and grade of a tumour to a multiclass classification system obtaining class probabilities. The important problem of input feature selection is also addressed.