Application of Breast Tumor Recognition in Ultrasonic Image based on the Texture Feature of Histogram
WU Jun
HE Chao
HUANG Duo
YUE Wensheng
XIANG Qin
Abstract：To evaluate the value of texture features in diagnosing breast tumor of ultrasonic image.Texture measurement were ob-tained from breast tumor in ultrasonic image.Six parameter consisting of mean,standard deviation,smoothness,third moment,con-formity and entropy resulted in the character vector.The back -propagation(BP)neural network was used to classify tumors into be-nign and malignant.BP neural network yielded the following results:88.4% and 78.6% respectively.The proposed system based on texture features performs well in the ultrasonic classification of breast tumors as benign or malignant.
Keywords：Ultrasonic imageBreast tumorTexture featuresCharacter vectorNeural networkClassificationRecognition
Publication Date：2013-01-01
Online Publishing Date：2026-09-11(First online date of this platform, not the publication date of the document)
Pages：3( 243-245 )