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A RICIAN MIXTURE MODEL CLASSIFICATION ALGORITHM FOR MAGNETIC RESONANCE IMAGES

Tissue classification algorithms developed for magnetic resonance images commonly assume a Gaussian model on the statistics of noise in the image. While this is approximately true for voxels having large intensities, it is less true as the underlying intensity becomes smaller. In this paper, the Gau...

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Autores principales: Roy, Snehashis, Carass, Aaron, Bazin, Pierre-Louis, Prince, Jerry L.
Formato: Artigo
Lenguaje:Inglês
Publicado: 2009
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Acceso en línea:https://ncbi.nlm.nih.gov/pmc/articles/PMC2814436/
https://ncbi.nlm.nih.gov/pubmed/20126426
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/ISBI.2009.5193070
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