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3D Medical Image Segmentation

This work is based on a Maximum a Posteriori (MAP) estimate of a log-likelihood function that accounts for the shape priori, the spatial interaction, and the current appearance of the tissues and its background (surrounding anatomical structures).

Ahmad Firjani

Illustration of the Joint Markov-Gibbs random field (MGRF) image model
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