Energy minimization optimizes a patch-based segmentation database, reducing size by 96% with maintained accuracy and improved FFR specificity on public CCTA data.
IEEE Trans Med Imaging 24(4), 477–485 (2005)
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Learning a sparse database for patch-based medical image segmentation
Energy minimization optimizes a patch-based segmentation database, reducing size by 96% with maintained accuracy and improved FFR specificity on public CCTA data.