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  1. Automated unsupervised learning-based clustering approach for effective anomaly detection in brain magnetic resonance imaging (MRI)
  2. A automated hybrid techniques for tumor segmentation
  3. Tumor detection in T1, T2, FLAIR and MPR brain images using a combination of optimization and fuzzy clustering improved by seed-based region growing algorithm
  4. identification of tumor region in T1, T2, and FLAIR brain images