Extended Data Fig. 3: Pan-cancer recognition performances with multiple visual prompts.
From: PRET is a few-shot system for pan-cancer recognition without example training
The proposed PRET almost surpasses the baselines in all datasets and prompts at the AUC metric. The gray error bars indicate standard deviation, and the gray dots are the specific results for n = 5 independent experiments. The p value indicates the significance of PRET outperforming the best baseline with two-sided Wilcoxon test, reporting the median value across all repeat experiments and varied shots.
