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Pseudo-Marginal MCMC Sampling for Image Segmentation Using Nonparametric Shape Priors

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0 Published in 2019 at "IEEE Transactions on Image Processing"

DOI: 10.1109/tip.2019.2922071

Abstract: Segmenting images of low quality or with missing data is a challenging problem. In such scenarios, exploiting statistical prior information about the shapes to be segmented can improve the segmentation results significantly. Incorporating prior density… read more here.

Keywords: shape; shape priors; density; pseudo marginal ... See more keywords