Cancer Detection in Mammograms by Extracting Geometry and Texture Features

Abstract

Breast cancer is one of the most frequently occurring diseases which cause death among women. Masses present in mammogram of breast, primarily indicates breast cancer and it is important to classify them as benign or malignant. Benign and malignant masses differ in geometry and texture characteristics. However, not every geometry and texture feature that is extracted contributes to the improvement of classification accuracy; thus, to select the best features from a set is important. Proposed new system will examine the feature selection methods for mass classification.

Keywords: Breast cancer, mammograms, Region of Interest (ROI), Feature Extraction