Table 1 Summarization of downstream task datasets

Data level	Dataset	Organ	Sample count	Patch size	Magnification	Task
Patch-level	NCT-CRC	Colon	107,180	224 × 224	20×	Cls (9)
	MHIST	Colon	3152	224 × 224	40×	Cls (2)
	LI	Stomach	973	512 × 512	5×	Cls (2)
	SICAPv2	Prostate	18,786	512 × 512	10×	Cls (4)
	WSSS4LUAD	Lung	4695	Dynamic^a	40×	Cls (2)
	SNOW	Breast	5000^b	512 × 512	40×	Seg (2)
	NuInsSeg	Various	474	512 × 512	40×	Seg (2)
	PanNuke	Various	2658	256 × 256	40×	Seg (2)
Side-level	TCGA-RCC	Kidney	884	512 × 512	20×	Cls (3)
	TCGA-NSCLC	Lung	993	512 × 512	20×	Cls (2)
	TCGA-BRCA	Breast	1008	512 × 512	20×	Cls (2)
	Camelyon16	Breast	268	512 × 512	40×	Cls (2)
	CBTN	Brain^c	300	512 × 512	20×	Cls (2)

The number in the bracket indicates the number of classes.
Cls classification, Seg segmentation.
^aThe width and height range from 150 to 300, with an average size of 220 × 222.
^bThe original SNOW dataset has 20k images. We sampled 5k images.
^cPediatric tissue samples.

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