TABLE.

Model Performances on Held-Out, Multicenter SRH Testing Set

	Patch			Slide			Patient
	Acc	Top 2	MCA	Acc	Top 2	MCA	Acc	Top 2	MCA
CE	0.83	0.93	0.822	0.871	0.951	0.899	0.915	0.958	0.931
SSL + linear	0.599	0.781	0.567	0.769	0.894	0.772	0.831	0.924	0.824
SupCon + linear	0.866	0.953	0.864	0.914	0.969	0.92	0.966	0.983	0.934

The bold entries signifies the best performing model in each metric.

Acc, accuracy; MCA, mean class accuracy; CE, cross-entropy; SSL, self-supervised contrastive learning; SupCon, supervised contrastive learning.

Top 2, correct class was predicted first or second more probable.