Discriminative Clustering and Feature Selection for Brain MRI Segmentation


Automatic segmentation of brain tissues from MRI is of great importance for clinical application and scientific research. Recent advancements in supervoxel-level analysis enable robust segmentation of brain tissues by exploring the inherent information among multiple features extracted on the supervoxels. Within this prevalent framework, the difficulties… (More)
DOI: 10.1109/LSP.2014.2364612


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