Energy minimization optimizes a patch-based segmentation database, reducing size by 96% with maintained accuracy and improved FFR specificity on public CCTA data.
Med Image Anal 1 7(8), 859–876 (2013), http://coronary.bigr.nl/stenoses/
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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.