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A probabilistic neural network based technique is presented for unsupervised quantification and segmentation of the brain tissues from magnetic resonance image. The problem is formulated as distribution learning and relaxation labeling that may be particularly useful in quantifying and segmenting abnormal brain tissues where the distribution of each tissue(More)
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