Malignant and Benign Breast Tissue Classification Performance Using a Scatterer Structure Preclassifier

Kevin D. Donohue, Lexun Huang, Georgia Georgiou, Fernand S. Cohen, Catherine W. Piccoli, and Flemming Forsberg

ABSTRACT Benign and malignant breast tissue classification is examined for generalized-spectrum parameters computed from RF ultrasound data when a preclassification of subregions based on general scattering properties is performed. Results using a clinical database of 84 patients show statistically significant improvements (over 10% in receiver operation characteristic (ROC) areas) when only coherent scatterer subregions are used as compared to using all subregions within the region of interest.

© 2003, by The Institute of Electrical and Electronics Engineers, Inc. All rights reserved.

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