Artificial Intelligent Systems and Machine Learning

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Detection of Suspicious Region in Medical Images Using Metaheuristic Algorithms


Affiliations
1 Anna University, India
2 ACET, Coimbatore, India
     

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The overall motivation of this paper is the implementation of detection of suspicious region from the medical images using metaheuristic algorithms. Segmentation is the very essential stage for extracting the region of interest (ROI) fr4om the medical images. In this paper Genetic algorithm and parallel Ant colony optimization techniques are used for the detection of MRI brain tumor.

Keywords

MRI, Genetic Algorithm, Parallel Ant Colony Optimization (PACO).
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  • Detection of Suspicious Region in Medical Images Using Metaheuristic Algorithms

Abstract Views: 199  |  PDF Views: 4

Authors

J. Jaya
Anna University, India
K. Thanushkodi
ACET, Coimbatore, India

Abstract


The overall motivation of this paper is the implementation of detection of suspicious region from the medical images using metaheuristic algorithms. Segmentation is the very essential stage for extracting the region of interest (ROI) fr4om the medical images. In this paper Genetic algorithm and parallel Ant colony optimization techniques are used for the detection of MRI brain tumor.

Keywords


MRI, Genetic Algorithm, Parallel Ant Colony Optimization (PACO).