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Southern University of Science and Technology
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CRISP achieves up to 38.9% improvement in segmentation accuracy under domain shifts without the need for target-domain data or model updates.
Medical image segmentation can be made dramatically more robust to domain shift by focusing on the *rank* of voxel probabilities rather than the probabilities themselves.
Achieve state-of-the-art OCT retinal layer segmentation by reliably aligning data across varying annotation granularities, even with limited labeled data.
