Detection and Classification of Breast Cancer Using Segmentation Algorithms

Abstract

World Health Organization (WHO) breast cancer diagnosis is the main cause of cancer death among women in the world. Breast cancer occurs generally in world especially under development and developing countries. In mammograms, microcalcifications appear as regions with high intensity compared to the local background, and they can vary in size and have shapes ranging from circular geometries to strongly irregular ones with sharp or soft contours. The main propose of this paper is to detect and classify mammographic injuries using the regions of attention of breast images.This approach will combine image and shape of surface features, which can be applied for detection and classification of breast cancer diseases. The result of this research will encourage, the best methods needed to detect different classes of breast cancer such as benign or malignant.