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Even with multi-agent adjudication, MLLMs still struggle to reliably differentiate visually confounded diseases in a zero-shot setting, highlighting limitations in current agent-based diagnostic approaches.
By explicitly modeling vascular topology, VasGuideNet achieves anatomically consistent Couinaud liver segmentation, surpassing state-of-the-art methods in Dice score and RVD.
