CRISP uses the observed stability of positive voxel probability rankings under domain shift to build and iteratively refine high-precision and high-recall priors via latent feature perturbation, enabling parameter-free robust segmentation.
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CRISP: Rank-Guided Iterative Squeezing for Robust Medical Image Segmentation under Domain Shift
CRISP uses the observed stability of positive voxel probability rankings under domain shift to build and iteratively refine high-precision and high-recall priors via latent feature perturbation, enabling parameter-free robust segmentation.