A Multiresolution Ripplet Transform for Breast Cancer Diagnosis in Digital Mammograms
J. Anitha, James D. Peter · Recent Advances in Computer Science and Communications · 2015
Background: Breast cancer is diagnosed as the most leading and dangerous cancer in women all over the world. Recent patents have shown that breast cancer is the second leading cause of death worldwide, among other cancers. This paper presents a development of breast cancer diagnosis system in digital mammograms using multiresolution technique. Keywords: Ripplet transform, mammogram diagnosis, multiresolution analysis, feature extraction, support vector machine.