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What is Optimized Brain MRI Segmentation Techniques about?

This paper presents an optimized brain MRI segmentation framework utilizing K-Means++ clustering and vectorized fuzzy membership computation, aimed at improving accuracy and speed in diagnosing brain disorders. The proposed method enhances segmentation quality by effectively initializing cluster centers and reducing noise through Gaussian filtering, resulting in superior performance compared to traditional K-Means and Fuzzy C-Means algorithms. Experimental results demonstrate significant improvements in var

Author

drashokyvuce

Language

EN