Multiclass imbalance learning: Improving classification of pediatric brain tumors from magnetic resonance spectroscopy.
Journal:
Magnetic resonance in medicine
Published Date:
Jun 1, 2017
Abstract
PURPOSE: Classification of pediatric brain tumors from H-magnetic resonance spectroscopy (MRS) can aid diagnosis and management of brain tumors. However, varied incidence of the different tumor types leads to imbalanced class sizes and introduces difficulties in classifying rare tumor groups. This study assessed different imbalanced multiclass learning techniques and compared the use of complete spectra and quantified metabolite profiles for classification of three main childhood brain tumor types.