Detection of mammographic masses using a refined mean shift approach

Mammography is one of the available methods for early detection of abnormalities, which is related to the human breast cancer. Image segmentation plays an important role in breast cancer detection. This paper presents a refined mean shift segmentation approach using spatial information characteristics as well, in order to achieve some accurate detection results.