CRISP: Constrained Refinement via Iterative Squeezing Process for Robust Medical Image Segmentation under Domain Shift
CRISP is a model-agnostic framework that requires no test-time parameter updates and no target-domain data--a target-free, plug-in refinement framework that segments with frozen weights, exploiting the stability of probability rankings under distribution shift to derive robust spatial priors.