Computer-Aided Detection Based on Fuzzy Support Vector Machines
Bai Xingli, Qian Xu · 2008
The paper present a novel method for Medical image Detection using fuzzy support vector machines. Through calculating fuzzy membership of every sample, the conception of fuzzy support vector machine (FSVM) is introduced, which can resolve the problem of unclassifiable regions in SVM. Some experiments for Microcalcifications detection in digital mammography with different noise levels were conducted and results show that the proposed method is able to detection the breast cancer in the images of mammography with high precision.