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Results of empirical evaluation. The results indicate: without using non-local information, the MLF framework (large-scale) provides better performance than two multi-atlas segmentation algorithms (majority vote and SS) and has comparable performance as the JLF benchmark. Note that, the multi-atlas segmentation used “non-rigid registration + fusion” framework while the JLF and the MLF used “affine registration + fusion” framework.
