Statistical detection of breast cancer by mammogram image

Abstract

Objective: To create awareness about the breast cancer which has become one of the most common diseases among women that leads to death if not recognized at early stage. Methods: The technique of acquiring breast image is called mammography and is a diagnostic and screening tool to detect cancer. A cascade algorithm based on these statistical parameters is implemented on these mammogram images to segregate normal, benign, and malignant diseases. Results: Statistical features - such as mean, median, standard deviation, perimeter, and skewness - were extracted from mammogram images to describe their intensity and nature of distribution using ImageJ. Conclusion: A noninvasive technique which includes statistical features to determine and classify normal, benign, and malignant images are identified.