A sigmoid-blended instance-layer normalization with an added group normalization step reports modest Dice gains for U-Net cardiac MRI segmentation in five of six cross-validation folds.
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U-Net Training with Instance-Layer Normalization
A sigmoid-blended instance-layer normalization with an added group normalization step reports modest Dice gains for U-Net cardiac MRI segmentation in five of six cross-validation folds.