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Multi-view learning with prototype-based correction significantly boosts the robustness of thyroid nodule ultrasound classification across different ultrasound devices and clinical environments.
By mimicking how pathologists dynamically integrate global and cellular evidence across multiple magnifications, MMNavAgent significantly boosts WSI diagnostic performance.
