Statistical features and classification of normal and abnormal mammograms

Breast cancer affects many women. Early detection and timely medical intervention is the key to long term survival and life quality for patients. The algorithm proposed in this paper contains four steps: Image DATA, preprocessing, features extraction and classification. Images samples are acquired with X-ray or new technique Terahertz imaging, noise removal is performed in preprocessing, statistical method is used for feature extraction process and classification.