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A Bayesian method for automatic landmark detection in segmented images

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Academic year: 2020

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Figure

Figure 1. (a) Observed segmented region simulated for a set of landmarks withlikelihood function contours for α=1, (b) α=10 and (c) α=80
Figure 2. Four independent sequences of the simulationswith different starting points. All 6000 iterations are plot-ted for each sequence and each landmark vertex
Figure 3. (a) Four starting landmark sets and the shape ofinterest. (b) Sample mean estimates of the four landmarksets.

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