Recognition Algorithm of Breast Disease Focus Based on Calcifications Information
Cong Ling · Computer and Information Technology · 2011
In this paper,a new recognition algorithm of breast disease focus based on calcifications information is proposed in order to effectively diagnose the early malignant breast disease.In this recognition algorithm,the characteristic quantities are shape information,texture information and space distribution information of the calcifications and the tool supported vector machine is employed to classify the calcifications is benign or malignant.The image samples from the mammogram database MIAS are detected by this algorithm.The simulation results are that the rate of detection calcifications was more than 86% and the false positive was less than 4%,which show the effectiveness of the proposed recognition algorithm.