A downsampling layer that adds min-pooling and max-pooling outputs yields small, inconsistent Dice gains in medical image segmentation, with no code or significance testing.
Review the state-of-the-art technologies of semantic segmentation based on deep learning[J]
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A Novel Downsampling Strategy Based on Information Complementarity for Medical Image Segmentation
A downsampling layer that adds min-pooling and max-pooling outputs yields small, inconsistent Dice gains in medical image segmentation, with no code or significance testing.