Breast cancer detection in mammograms using Wavelet and contourlet transformations

Breast cancer is one of the most common causes of death among women around the world. Mammography is considered the most effective method for early detection of breast cancer. It is difficult for radiologists to detect breast tumor in mammographic pictures. In this study, we propose a method for classifying the mammograms based on support vector machine by using feature extraction technics in image processing. Feature vectors are created by applying Wavelet and contourlet transformations on mammograms. Then Classification is done using support vector machine. The experiments results show that the performance of the proposed method is noticeable in comparison with the others.