SemiSAM-O1 narrows the gap to fully supervised medical image segmentation performance while using only a single annotated template image through foundation-model feature propagation and uncertainty-guided iterative refinement.
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SemiSAM-O1: How far can we push the boundary of annotation-efficient medical image segmentation?
SemiSAM-O1 narrows the gap to fully supervised medical image segmentation performance while using only a single annotated template image through foundation-model feature propagation and uncertainty-guided iterative refinement.