Detection and analysis of breast masses from MRIs and dual energy contrast enhanced mammography

Abstract

This paper focuses on breast masses analysis from two different modalities: Magnetic Resonance Imaging (MRI) and Dual-Energy Contrast Enhanced Digital Mammography (DECEDM). After the segmentation step, a set of texture and shape features are extracted from both MRI and DECEDM. Then textural and morphological information extracted from the two modalities are combined in order to improve breast cancer detection. Achieved results show that features combination extracted from two different breast images modalities can give a better characterization of breast cancer with a CCR of 96%.