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Article Synopsis
  • This paper introduces a new method called constrained energy minimization (CEM) for classifying magnetic resonance (MR) images, which focuses on detecting spectral signatures.
  • The CEM method treats different spectral channels like sensors, enabling it to identify specific spectral signatures without needing to know the image background.
  • Experimental results demonstrate that CEM outperforms the commonly used c-means method, highlighting its effectiveness for MR image classification.
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