Ant Colony optimization algorithm for breast cancer cells classification
Ahmed Nejmedine Machraoui, Mohamed Ali Cherni, Mounir Sayadi · 2013
Ant colony optimization (ACO) is a bio-inspired technique formalized into a meta-heuristic for combinatorial optimization problems. In this work, the ACO-Otsu segmentation method, based on ACO algorithm and Otsu's method as a fitness function, is applied in classification and detection of breast cancer cells. Subsequently, this method is compared with the Otsu's standard method. The experiments show the performance of this probabilistic search approach in such type of problems.