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Improved Inference in Bayesian Segmentation Using Monte Carlo Sampling: Application to Hippocampal Subfield Volumetry

Many segmentation algorithms in medical image analysis use Bayesian modeling to augment local image appearance with prior anatomical knowledge. Such methods often contain a large number of free parameters that are first estimated and then kept fixed during the actual segmentation process. However, a...

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Autori principali: Iglesias, Juan Eugenio, Sabuncu, Mert Rory, Leemput, Koen Van
Natura: Artigo
Lingua:Inglês
Pubblicazione: 2013
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Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC3719857/
https://ncbi.nlm.nih.gov/pubmed/23773521
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.media.2013.04.005
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