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We propose an integrated framework that can simultaneously segment and register a set of medical images using a geometric active model and a pseudo-likelihood method. First, we segment given medical volume data using a fast matching and geometric deformable model and extract a surface of an object from the segmented volume data. Second, we use the hidden Markov random field model and the pseudo-likelihood...
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