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ToPO achieves superior image generation performance by optimizing token-conditioned preferences, outperforming existing methods across multiple evaluation metrics.
SUGFW+ achieves state-of-the-art performance in medical image segmentation by seamlessly integrating sample selection and model training through uncertainty-guided feature weighting.
