Prediction of Breast Cancer Detection Using K-Nearest Neighbors, Support Vector Machine and Feed Forward Back Propagation Neural Network

Abstract

Now a days breast cancer is a most common problem in women. This work related to diagnose cancerous cell for find out cancer detection. Regular checkups are critical for early recognized and treatment of this type of cancer. Now days computer-aided methods for breast cancer analysis allow for another and earlier way of breast cancer analysis. In this paper classification of the images for breast cancer detection is accessible. Classification of the images is accomplished using Feed Forward Back Propagation Neural Network (FFBPPN) , Support Vector Machines(SVM) and k-NN algorithms are used. Classification of the breast cancer images is to improved by using Feed Forward back propagation neural network (BPNN) method. The accuracies of the FFBPNN, SVM and k-NN are 98.8%, 97.7% and 96.8% respectively.