Fig. 3: Comparison on cancer subtyping.
From: A whole-slide foundation model for digital pathology from real-world data
a–f, Bar plots comparing cancer subtyping performance in terms of AUROC (a,c,e) and balanced accuracy (b,d,f) on nine cancer types. Data are mean ± s.e.m. across n = 10 independent experiments. The listed P value indicates the significance for Prov-GigaPath outperforming the best comparison approach, with one-sided Wilcoxon test. BACC, balanced accuracy. BRCA, breast invasive carcinoma; CNS, central nervous system; COADREAD, colorectal adenocarcinoma; DIFG, diffuse intrinsic pontine glioma; EGC, early gastric cancer; HB, hepatobiliary; NSCLC, non-small cell lung cancer; OVT, ovarian cancer; RCC, renal cell cancer.
