M. Hemmasian Ettefagh

Introduction: Breast cancer is the most common cancer and the leading cause of cancer death among women worldwide. Due to the nature of mammograms that are often complex and detailed interpretation have many details in image so in order to interpret these images, high precision is required. In this study we tried to provide an efficient algorithm comparison between the two images of a patient with high precision serial mammograms done and areas that have been changed in the image to the radiologist shown. Methods: To evaluate the performance of the algorithm, the accuracy of its output is matched by the radiologist and the end the good results obtained show that the algorithm has high accuracy. Data collection have been used in this study, including mammograms of patients with diagnosed at any stage of imaging radiologists and pathologists in the case referred to the pathologist s opinion is recorded as the Golden point.