Detection on clusted microcalcification on mammograms based on priori model and region growing
Yaohui Liu, Hu Shanquan, Tao Li, Zhiqiang Wang · Computer Engineering and Applications Journal · 2011
An important feature of early breast cancer is microcalcification.The first step of successful diagnosis is how to identify microcalcifications rapidly and accurately in a mammogram.A new rapid detection method based on priori model and region growing is presented in this paper.A 0.5 mm diameter template is chosen to find out local peak points in a mammogram.The region growing method is used by taking these points as initial seeds.Features of each area as size,average gray and contrast are computed,and the areas whose features meeting characters of microcalcification are reserved.Based on priori knowledge,the microcalcification cluster is detected.Experiments show that microcalcifications can be detected by this algorithm rapidly and automatically,improving doctors'diagnosis.