SAM2-SGP automatically prompts SAM2 using support-set-derived pseudo-masks and achieves higher Dice scores than nnUNet, SwinUNet, SAM2, and MedSAM2 across eight medical datasets.
Segment anything model (sam) for medical image segmentation: A preliminary review,
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SAM2-SGP: Enhancing SAM2 for Medical Image Segmentation via Support-Set Guided Prompting
SAM2-SGP automatically prompts SAM2 using support-set-derived pseudo-masks and achieves higher Dice scores than nnUNet, SwinUNet, SAM2, and MedSAM2 across eight medical datasets.