Table 2.

Summary of inference thresholds for predicting severe patients of kidney fibrosis in the two models

Two-Dimensional Global Slice-by-Slice Threshold						Two-Dimensional U-Net Voxel-Based Threshold
Threshold	Accuracy	Sensitivity	Specificity	Positive Predictive Value	Negative Predictive Value	Threshold	Accuracy	Sensitivity	Specificity	Positive Predictive Value	Negative Predictive Value
>0.1	0.753	0.940	0.490	0.722	0.854	>0.1	0.818	0.936	0.652	0.791	0.878
>0.2	0.810	0.913	0.665	0.793	0.844	>0.2	0.847	0.917	0.748	0.837	0.866
>0.3	0.826	0.894	0.729	0.823	0.831	>0.3	0.847	0.881	0.800	0.861	0.827
>0.4	0.839	0.867	0.800	0.859	0.810	>0.4	0.871	0.867	0.877	0.909	0.824
>0.5	0.831	0.817	0.852	0.886	0.767	>0.5	0.879	0.853	0.916	0.935	0.816
>0.6	0.831	0.794	0.884	0.906	0.753	>0.6	0.869	0.835	0.916	0.933	0.798
>0.7	0.831	0.775	0.910	0.923	0.742	>0.7	0.861	0.807	0.935	0.946	0.775
>0.8	0.839	0.757	0.955	0.959	0.736	>0.8	0.839	0.766	0.942	0.949	0.741
>0.9	0.802	0.679	0.974	0.974	0.683	>0.9	0.815	0.720	0.948	0.952	0.707