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SUGFW+ achieves state-of-the-art performance in medical image segmentation by seamlessly integrating sample selection and model training through uncertainty-guided feature weighting.
Concept Alignment Contrast enables robust evaluation of prediction quality, leading to superior segmentation performance in medical imaging despite the domain gap.
