title: [Breast tumor classification based on serial grayscale ultrasound images].
abstract: 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.
authors.affiliation: Department of Electronic Engineering and Information Science, USTC, Hefei. hazhang@mail.ustc.edu.cn
authors.forename: Zhang
authors.initials: Z
authors.lastname: Ha
authors.forename: Chuan-Fu
authors.initials: CF
authors.lastname: Li
authors.forename: Jin-Ping
authors.initials: JP
authors.lastname: Wang
authors.forename: Kang-Yuan
authors.initials: KY
authors.lastname: Zhou
authors.forename: Zhen-Sen
authors.initials: ZS
authors.lastname: Yang