Mixture models with adaptive spatial regularization for segmentation with an application to FMRI data.
Mixture models are often used in the statistical segmentation of medical images. For example, they can be used for the segmentation of structural images into different matter types or of functional statistical parametric maps (SPMs) into activations and nonactivations. Nonspatial mixture models segm...
| Main Authors: | , , , |
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| Format: | Journal article |
| Language: | English |
| Published: |
2005
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