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The quantitative results in a comparison between various state-of-the-art label fusion algorithms for multi-atlas segmentation. Using the previously described registration procedure, the accuracy of majority vote, STAPLE, Spatial STAPLE, Locally Weighted Vote, and Non-Local STAPLE are presented in terms of the mean DSC across the two optic nerves, and the mean surface distance error for each of the considered 31 target volumes.
