A multiple classifier system to catalogue breast lesions on DCE-MRI
The authors provide a multiple classifier system (MCS) which combines morphological features and dynamic information for the categorisation of breast lesions on dynamic contrast-enhanced MRI.
- An MCS combined two classifiers trained with morphological and dynamic features
- A decision tree was used for classifying morphological features
- A Bayesian classifier was used for classifying dynamic features
Authors: Roberta Fusco, Massimiliano Di Marzo, Carlo Sansone, Mario Sansone and Antonella Petrillo