Comparative Analysis of Texture Patterns for the Detection of Breast Cancer Using Mammogram Images
J. Shiny Christobel, J. Joshan Athanesious · 2019
After HIV, breast cancer is the second leading cause of death among women all over the world. Cancer is the erratic growth of cells that originate in the blood tissue. Tumors may be cancerous (malignant) or noncancerous (benign) malignant tumors. Early detection increases the chances of survival and reduces the death rate. This chapter presents a novel approach to compare breast cancer using local binary pattern and local gradient pattern. Local binary pattern and local gradient pattern are generally used for textural pattern analysis. The generated pattern is used to classify tumors with the help of the support vector machine classifier.