A Surgical Foundation Model Reveals Task-Dependent Label Efficiency
Developing label-efficient models is a central challenge in surgical AI due to the high cost and scarcity of expert annotation. While self-supervised foundation models adapt well to new tasks with minimal data, how label efficiency varies across different surgical tasks remains largely unexplored. Here, we introduce SU...
F. Stilz, L. Arboit, V. Srivastav et al.
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