Table 3.

Performance comparison of slice-level prediction models with different pretraining blocks.

Model	Params. (M)	Precision	Accuracy	Sensitivity	Specificity	AUC
ResNet50	9.63	0.965	0.981	0.997	0.966	0.983
Inception	9.92	0.939	0.923	0.900	0.945	0.973
DenseNet121	8.04	0.979	0.971	0.959	0.981	0.992

* Bold font indicates the highest value among the three models.