Ant-based clustering algorithm for magnetic resonance breast image segmentation
Hossam M. Moftah, Aboul Ella Hassanien, Adel M. Alimi, Hichem Karray, Mohamed F. Tolba · 2013
This article introduces an improved version of the ant-clustering approach for image segmentation. An application of breast cancer magnetic resonance breas imaging has been chosen and the improved ant-based clustering approach has been applied to see their ability and accuracy to isolate the region of interest in the MRI images. The aim of the proposed ant-based clustering is to identify target objects through an The experimental results obtained, show that the modified ant-based clustering is superior to the classical ant-based clustering and the overall accuracy offered by the improved approach confirm that the effectiveness and performance is 98% in average.