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Integrating prompt-conditioned channel attention can boost segmentation accuracy by over 23% in challenging medical imaging tasks.
Natural-language descriptions can outperform traditional image statistics in predicting pulmonary nodule malignancy, enabling a calibrated LLM to triage cases effectively.
