Application of Breast Tumor Recognition in Ultrasonic Image based on the Texture Feature of Histogram
Wu Ju · Journal of Biomedical Engineering Research · 2013
To evaluate the value of texture features in diagnosing breast tumor of ultrasonic image. Texture measurement were obtained from breast tumor in ultrasonic image. Six parameter consisting of mean,standard deviation,smoothness,third moment,conformity and entropy resulted in the character vector. The back- propagation( BP) neural network was used to classify tumors into benign 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.