The Segmentation Algorithm of Mammographic Masses Based on the Gmac Model
Shengrong Zhao · Dianzi xuebao · 2014
In breast-CAD system,the segmentation of breast mass is an important step for pretreatment.In this work,the Gmac model is applied for breast mass segmentation,meanwhile,two improved methods to solve the Gamc model are proposed:the improved Level-set algorithm and the improved split-bregman algorithm.In experiment part,we select 483 medical images for test.The CM for the two algorithms is 64% and 76% and AMED is 4.4750 and 1.4602 respectively.The experimental results show the improved split bregman method is more effective for breast-mass segmentation.Besides,the ACWE model and GAC model are used for comparison and the results indicate that the Gmac model is more suitable for breast-mass segmentation.