M2C turns SAM3 into an auto-promptable annotator for medical few-shot segmentation via test-time concept embedding optimization and uncertainty-driven active refinement.
Tyche: Stochastic in-context learning for medical image segmentation
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Mask to Concept: Auto-Promptable SAM3 via Efficient Test-Time Concept Embedding Search for Few-Shot Annotation
M2C turns SAM3 into an auto-promptable annotator for medical few-shot segmentation via test-time concept embedding optimization and uncertainty-driven active refinement.