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Fast and Sequence-Adaptive Whole-Brain Segmentation Using Parametric Bayesian Modeling
Quantitative analysis of magnetic resonance imaging (MRI) scans of the brain requires accurate automated segmentation of anatomical structures. A desirable feature for such segmentation methods is to be robust against changes in acquisition platform and imaging protocol. In this paper we validate th...
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| Publicat a: | Neuroimage |
|---|---|
| Autors principals: | , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
2016
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8117726/ https://ncbi.nlm.nih.gov/pubmed/27612647 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.neuroimage.2016.09.011 |
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