Use of the K-distribution for classification of breast masses.
The K-distribution had been introduced as a valid model to represent the statistics of the envelope of the backscattered echo from phantom and tissue. This paper investigates the efficacy of the parameters of this statistical model; namely, the effective number and the effective cross-section, to characterize breast lesions as benign or malignant. Based on the normalized values of the effective number and the effective scattering cross-section, images containing benign and malignant masses were classified for a data set from 52 patients having breast masses/lesions. The receiver operating characteristic (ROC) curves were then obtained to test the classification based on these two parameters. The results indicate that the parameters of the K-distribution may be useful in classification of the breast lesions as benign and malignant.
Shankar
P M
PM
Department of Electrical and Computer Engineering, Drexel University, Philadelphia, PA 19104, USA. pshankar@coe.drexel.edu
Dumane
V A
VA
Reid
J M
JM
Genis
V
V
Forsberg
F
F
Piccoli
C W
CW
Goldberg
B B
BB
D001943:Breast Neoplasms / Q000000981:diagnostic imaging*; D005260:Female; D006801:Humans; D015233:Models, Statistical; D012372:ROC Curve; D016008:Statistical Distributions; D016217:Ultrasonography, Mammary