Classification of Images by Cellular Automata in Medical Basis of Mammography
This paper presents the performance of cellular automata (CA) that helps classification of mammographic images. Segmentation based on cellular automata and multi agent systems is used. This paradigm builds from simple elements connected into regular structures with local interaction between neighbors. This connection generally builds a simple geometry; lattices. The results obtained based on real images present the performance of CA for the classification.
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