Extended Data Fig. 6: Comparison between pretraining the same model using Prov-Path and TCGA.
From: A whole-slide foundation model for digital pathology from real-world data
a-b, Bar plots showing the AUROC (a) and AURPC (b) on LUAD 5-gene mutation prediction in TCGA using models trained on Prov-Path and TCGA. Prov-GigaPath is GigaPath trained on Prov-Path. GigaPath-TCGA is GigaPath trained on TCGA. The error bars show the standard error across n = 10 independent experiments and the bar centre shows the mean value. The listed p-value indicates the significance level that Prov-GigaPath outperforms GigaPath-TCGA, with one-sided Wilcoxon test.