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.

Key points:

  • 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

Article: Breast DCE-MRI: lesion classification using dynamic and morphological features by means of a multiple classifier system

Authors: Roberta Fusco, Massimiliano Di Marzo, Carlo Sansone, Mario Sansone and Antonella Petrillo