Mammogram Image Segmentation Using Bioinspired Novel Bat Swarm Clustering
David González-Patiño, Yenny Villuendas-Rey, Amadeo-José Argüelles-Cruz · Research in Computing Science · 2016
Segmentation is one of the main tasks related to breast cancer classification.Automatic and semiautomatic algorithms have been proposed lately, and in this paper, a new method to segment mammography images is proposed using novel bat algorithm (NBA) and unsupervised metric measures as objective function.Results showed a useful method to segment mammographies using bioinspired algorithms based on bat optimization.