SAM3 performs poorly with text-only prompts on nuclei, is sensitive to visual prompt quality, gains modestly from few-shot examples but lacks robustness to noise, and shows a large gap to task-specific adapters on NuInsSeg, PanNuke, and GlaS datasets.
Gland segmentation in colon histology images: The glas challenge contest,
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Is SAM3 ready for pathology segmentation?
SAM3 performs poorly with text-only prompts on nuclei, is sensitive to visual prompt quality, gains modestly from few-shot examples but lacks robustness to noise, and shows a large gap to task-specific adapters on NuInsSeg, PanNuke, and GlaS datasets.