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What is CGMM for MS Lesion Detection in MRI about?

This paper proposes a method to detect and segment multiple sclerosis (MS) lesions in magnetic resonance (MR) brain images using a constrained Gaussian mixture model (GMM) and active contours. The constrained GMM is used to perform healthy tissue segmentation and simultaneously identify MS lesions as outlier Gaussian components. An active contour algorithm is then used to delineate lesion boundaries. Experimental results on both simulated and real brain MR data indicate the proposed method outperforms previ

Author

Ayesha Amir

Language

EN