Improving accuracy in astrocytomas grading by integrating a robust least squares mapping driven support vector machine classifier into a two level grade classification scheme
GlotsosDimitris, KalatzisIoannis, SpyridonosPanagiota, KostopoulosSpiros, DaskalakisAntonis, AthanasiadisEmmanouil, RavazoulaPanagiota, NikiforidisGeorge, CavourasDionisis · Computer Methods and Programs in Biomedicine · 2008
Grading of astrocytomas is an important task for treatment planning; however, it suffers from significantly great inter-observer variability. Computer-assisted diagnosis systems have been propose t...