Medical Image Classification based on Fuzzy Support Vector Machines

摘要：

The paper present a novel method for medical image classification using fuzzy support vector machines(FSVM).In this method a membership degree is defined for each training sample, which can resolve the problem of unclassifiable regions in SVM. Experiments on images of mammography with different noise levels were conducted and results show that the proposed method is able to classify the breast cancer in the images of mammography with high precision. In application of this method the cost and time of computation can also be reduced.

作者: Bai Xing-li Qian Xu

作者单位: School of Mechanical Electronic & Information Engineering China University of Mining & Technology Be School of Mechanical Electronic & Information Engineering China University of Mining & Technology Be

会议类型: 国际会议

会议名称: International Conference on Intelligent Computation Technology and Automation(2008 智能计算技术与自动化国际会议 ICICTA 2008)

会议地点: 长沙

会议语种:英文

页码: 1436-1440

在线出版日期: 2008-10-20（万方平台首次上网日期，不代表论文的发表时间）