Intelligent optimization techniques for mammogram image analysis through bilateral subtraction

Abstract

In this paper, Metaheuristic Algorithms such as Genetic Algorithm (GA) and Parallel Ant Colony Optimization (ACO) are implemented to extract the suspicious region based on the asymmetry approach. In bilateral subtraction, the asymmetries between corresponding left and right breast images are considered for extracting the suspicious region from the background tissue. The breast border and the nipple position are used as reference points for alignment of mammograms. The Genetic Operators such as reproduction crossover and mutations are used to detect breast border and using a novel method called Parallel Ant Colony Optimization algorithm identifies the nipple position. The mammogram images are aligned with the help of border points and nipple position and the suspicious regions are extracted by subtracting the left and the right breast image

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Cite this paper

@article{Sivakumar2010IntelligentOT, title={Intelligent optimization techniques for mammogram image analysis through bilateral subtraction}, author={R. Sivakumar and Marcus Karnan}, journal={2010 IEEE International Conference on Computational Intelligence and Computing Research}, year={2010}, pages={1-4} }