Anisotropic diffusion filtering of mammographic image for CAD in digital mammography
Breast cancer is the second leading cause of cancer death among American women. Computer aided diagnosis (CAD) has been proposed as a "second-opinion" strategy for breast screening. This paper presents a new mammographic image processing method using anisotropic diffusion filtering to improve feature enhancement and lesion detection of CAD in digital mammography.