Classification of breast lesions using segmented quantitative ultrasound maps of homodyned <i>K</i> distribution parameters

Abstract

The study showed that the analysis of internal changes in lesion parametric maps leads to a better classification of breast tumors. The authors recommend combining multiple features for characterization, instead of using only one parameter, especially in the case of heterogeneous lesions.