Table 1.

Comparison of deep learning models for predicting AS

Source	Backbone	Accuracy (SD)	AUROC (SD)	F1 (SD)
Tile	ResNet18 - ImageNet	0.638 (0.034)	0.661 (0.033)	0.720 (0.042)
Tile	ResNet18 - SSL	0.686 (0.038)	0.742 (0.023)	0.735 (0.040)
Tile	Vgg11 - ImageNet	0.590 (0.017)	0.629 (0.043)	0.686 (0.030)
Tile	DenseNet121 - ImageNet	0.670 (0.063)	0.717 (0.061)	0.738 (0.051)
Nucleus	Resnet18 - ImageNet	0.667 (0.039)	0.752 (0.058)	0.720 (0.048)
Nucleus	Resnet18 - SSL	0.673 (0.051)	0.736 (0.060)	0.730 (0.058)
Nucleus	Vgg11 - ImageNet	0.670 (0.031)	0.714 (0.043)	0.734 (0.045)
Nucleus	DenseNet121 - ImageNet	0.717 (0.059)	0.740 (0.060)	0.758 (0.053)