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Automated segmentation of different tissue regions from brain magnetic resonance (MR) imaging has a substantial impact on many computer-assisted neuro-imaging studies. Major challenges to accomplish this task emerge from limited spatial resolution, signal-to-noise ratio, and RF coil inhomogeneity. These imaging artifacts lead to fuzziness of tissue boundaries and uncertainty in MR intensity-based...
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