SPA uses few-shot spatial adaptation, a diffusion model trained on a hand-provided procedure graph, and test-time mutual agreement to achieve strong surgical phase recognition with minimal labeled data.
In: Advancements In Med- ical Foundation Models: Explainability, Robustness, Security, and Beyond (2024)
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Recognizing Surgical Phases Anywhere: Few-Shot Test-time Adaptation and Task-graph Guided Refinement
SPA uses few-shot spatial adaptation, a diffusion model trained on a hand-provided procedure graph, and test-time mutual agreement to achieve strong surgical phase recognition with minimal labeled data.