Title :
Malignant and benign breast tissue classification performance using a scatterer structure preclassifier
Author :
Donohue, Kevin D. ; Huang, Lexun ; Georgiou, Georgia ; Cohen, Fcrtiand S. ; Piccoli, Catherine W. ; Forsberg, Fleniniirig
Author_Institution :
Electr. & Comput. Eng. Dept., Kentucky Univ., Lexington, KY, USA
fDate :
6/1/2003 12:00:00 AM
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.
Keywords :
backscatter; biological tissues; biomedical ultrasonics; image classification; medical image processing; ultrasonic imaging; ultrasonic scattering; RF ultrasound data; backscattered US signals; benign breast tissue; breast tissue classification performance; clinical database; coherent scatterer subregions; general scattering properties; generalized spectrum parameters; malignant breast tissue; scatterer structure preclassifier; Benign tumors; Breast tissue; Cancer; Computational efficiency; Data mining; Databases; Diseases; Radio frequency; Scattering parameters; Ultrasonic imaging; Algorithms; Breast Neoplasms; Humans; Image Interpretation, Computer-Assisted; Predictive Value of Tests; Quality Control; ROC Curve; Reproducibility of Results; Scattering, Radiation; Ultrasonography, Mammary;
Journal_Title :
Ultrasonics, Ferroelectrics, and Frequency Control, IEEE Transactions on
DOI :
10.1109/TUFFC.2003.1209562
