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A small, trainable module can dramatically improve localization accuracy in surgical video analysis, achieving the highest STG score on MedVidBench without retraining existing models.
LIME leverages LLM-generated narratives to create a scalable surgical dataset, but SurgLIME's innovative approach ensures that noisy text doesn't compromise model performance.
