Semi-supervised clustering for MR brain image segmentation
We propose a semi-supervised clustering method for MR brain image segmentation. The initial parameters are calculated based on prior knowledge. The proposed method accelerates the convergence of the segmentation. Performance and accuracy gain observed in the experiments.
semi-supervised learning gaussian mixture model contextual segmentation magnetic resonance brain multispectral image