An automatic breast mass segmentation algorithm in digital mammography

Breast mass segmentation in digital mammography is one of the most significant methods of breast cancer prevention. An integrated approach for mammographic mass segmentation is proposed in this paper. Given a mammographic image, it is first eliminated interference and enhanced in the preprocessing states. Then, the preprocessed images are detected and segmented by level set method. A preliminary evaluation of the proposed method performs on a known public database, namely Mini Mammographic Image Analysis Society (MIAS) database. In order to present that our proposed algorithm is more excellent, we make comparison experiments to demonstrate that our proposed approach can potentially obtain better masses detection results.