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By strategically deferring ambiguous image regions to human experts, DeferredSeg achieves more trustworthy medical image segmentation than standalone models.
Editing a rule in an LLM is not like editing a fact; you can't just tweak one layer – formulas live in early layers, instances in the middle.
Overcome the limitations of prompt learning with partial labels: a novel approach that leverages both local feature structure and global distribution alignment to select optimal labels.
