Breast cancer detection using non-invasive method for real time dataset
Basavaraj V. Hiremath, S C Prasannakumar, K. Praneethi · 2016
Breast Cancer is one of the most horrible and dangerous diseases that affect women health. This paper aims to detect the breast cancer in a non-invasive manner with the help of mammograms and enables advanced characterization of the lesion using following steps: mammogram enhancement using adaptive median filter, cancer area detection using seed value based segmentation, extraction of CSLBP and GLDM features and finally, classification of cancer using RBF-SVM. The Algorithm is evaluated on real time mammogram breast dataset consisting of 249 images and for the considered dataset, accuracy is found to be 95.18%.