Automatic Detection Algorithm Based on LVQ Neural Network for Micro-calcification Clusters

摘要：

　　Given that the micro-calcification clusters in early breast cancer X-ray pictures are minimal and irregular with differentiated shapes and distributions as well as the unsatisfactorily low contrast ratio,micro-calcification clusters of small sizes and the unsatisfactorily low contrast ratio tend to be easily ignored or misdiagnosed by doctors.This paper applies the LVQ Neural Network to classify micro-calcification clusters as malignant or benign in digitized mammograms based on feature extraction of statistical methods.The result shows the method of LVQ Neural Network is simpler and effective.

关键词： Micro-calcification clusters classification LVQ Neural Network Tumor pattern

作者: Ying Kong Hui-juan Lu

作者单位: School of Information and Electronic Engineering,Zhejiang University of Science and Technology,Hangz College of Information Engineering,China Jiliang University,Hangzhou,China

会议类型: 国际会议

会议名称: The 9th International Conference on Pervasive Computing and Application(ICPCA 2014)(第九届全国普适计算学术会议、第九届全国人机交互联合学术会议)

会议地点: 南昌

会议语种:英文

页码: 1-12

在线出版日期: 2013-09-26（万方平台首次上网日期，不代表论文的发表时间）