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By progressively expanding boundary predictions, PBE-UNet effectively focuses on challenging segmentation error regions in ultrasound images, leading to state-of-the-art performance.
Vision-language models falter at the fine-grained temporal recognition crucial for surgical video understanding, while SurgRec excels.
