Breast Cancer Detection using Classification Techniques in Digital Mammography

Early breast cancer diagnosis is a challenging task for the radiologists without which the cancer death rate can be increased among women globally.Digitital mammography is the powerful technique which helps diagnosing breast cancers in premature stages preventing unnecessary biopsies and radiation treatments by proper screening and abnormality detection. The malignancy can be found in patients in the presence of masses and microcalcifications in the breast region. Successful analysis of the breast tumor relies on features extracted from the cancer suspicious areas and classification of features using classifier or combinations of the classifier. This paper summarizes all the existing classification techniques used in digital mammography for classifying the detected masses and microcalcifications as normal or begnin or malignant.