Experimental Comparison of Bioinspired Segmentation Algorithms Applied to Segmentation of Digital Mammographies

Breast cancer has affected people worldwide despite of age or economic condition. In this paper, we explore the possibility of using bioinspired algorithms, mainly designed for optimization, for segmentation of mammographies, which showed good performances in this task. The results showed useful methods with promising results to segment digital mammographies using bioinspired algorithms.