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Formulating Spatially Varying Performance in the Statistical Fusion Framework
To date, label fusion methods have primarily relied either on global (e.g. STAPLE, globally weighted vote) or voxelwise (e.g. locally weighted vote) performance models. Optimality of the statistical fusion framework hinges upon the validity of the stochastic model of how a rater errs (i.e., the labe...
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| Autors principals: | , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
2012
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3368083/ https://ncbi.nlm.nih.gov/pubmed/22438513 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TMI.2012.2190992 |
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