A heat map from a cancer-grade classifier used as a SAM prompt gives small gland-segmentation gains on GlaS, with no error bars and only old baselines compared.
Primar- ily trained on a broad dataset, it demonstrates impressive zero-shot performance involving natural images
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Gland Segmentation Using SAM With Cancer Grade as a Prompt
A heat map from a cancer-grade classifier used as a SAM prompt gives small gland-segmentation gains on GlaS, with no error bars and only old baselines compared.