Computer-aided detection system based on PCA/SVM for diagnosis of breast cancer lesions

摘要: Breast cancer is the most common female and leading cause of cancer-related deaths among women worldwide. Early detection breast increases treatment options recovery rates. Mammography (MG) only broadly accepted used screening test for early detection. Several nationwide MG programs decreased mortality in many developed countries. However, difficulty interpretation leads to high rates missed cancers. Therefore, a second opinion usually required reduce erroneous The computer-aided diagnosis (CAD) systems are commonly expense assist radiologists interpretation. Typically, CAD system composed three steps: preprocessing, feature extraction classification where representative features key stage enhancing performance. This talk will provide an overview fundamentals diagnostic via detecting lesions such as microcalcifications masses, providing discussion comparison existing illustrating their performance experimental results.