[Breast tumor classification based on serial grayscale ultrasound images].
This paper proposes an algorithm of evaluating the compression depth, and then to extract four normalized mammary elasticity characteristic parameters with respect to the compression depth. The classification experiments show that these elasticity parameters have a good capability in determining whether the tumor is benign or malignant, and if combined with morphological parameters, the accuracy, sensitivity and specificity can be improved and increased to 95.19%, 98.82% and 92.16%, respectively.
Ha
Zhang
Z
Department of Electronic Engineering and Information Science, USTC, Hefei. hazhang@mail.ustc.edu.cn
Li
Chuan-Fu
CF
Wang
Jin-Ping
JP
Zhou
Kang-Yuan
KY
Yang
Zhen-Sen
ZS