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This paper presents cellular automata algorithms for medical image processing. Mammogram images are comprehensively carried out to determine the hypothesis spots of breast cancer. In this respect, the main cellular automata algorithm and its variation are presented and studied to deal with binary and grayscale images. The results of the proposed algorithms are promising and helpful for physician and doctors in diagnosis of the breast cancer in further steps.