Bayesian statistical models of shape and appearance for subcortical brain segmentation
<p>Our motivation is to develop an automated technique for the segmentation of sub-cortical human brain structures from MR images. To this purpose, models of shape-and-appearance are constructed and fit to new image data. The statistical models are trained from 317 manually labelled T1-weighte...
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| Format: | Thesis |
| Language: | English |
| Published: |
2007
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