Automatic segmentation and classification of breast lesions through identification of informative multiparametric PET/MRI features
Abstract Background Multiparametric positron emission tomography/magnetic resonance imaging (mpPET/MRI) shows clinical potential for detection and classification of breast lesions.Yet, the contribution of features Nesting End Table (Set of 2) for computer-aided segmentation and diagnosis (CAD) need to be better understood.We proposed a data-driven