CHAP: Channel-spatial hierarchical adversarial perturbation for semi-supervised medical image segmentation
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Semi-supervised medical image segmentation (SSMIS) methods predominantly rely on consistency regularization to reinforce invariant feature learning under perturbations. However, the reliance on uniform perturbation strategies makes SSMIS models susceptible to ... ...
