Discriminative Clustering and Feature Selection for Brain MRI Segmentation

Abstract

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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