Multiphase convolutional dense network for the classification of focal liver lesions on dynamic contrast-enhanced computed tomography

Table 2 The confusion matrix analysis on test set

		Ground truth				Positive predictive value
		Benign	Metastases	HCCs	Hepatic abscesses
		non-inflammatory FLLs
Prediction	Benign non-inflammatory FLLs	25	0	4	2	0.806
	Metastases	3	23	2	3	0.742
	HCCs	3	0	17	0	0.85
	Hepatic abscesses	3	0	0	22	0.88
	Sensitivity	0.735	1	0.739	0.815
	Specificity	0.918	0.905	0.964	0.963
	Accuracy	0.86	0.925	0.916	0.925
	Mean accuracy	0.813

HCCs: Hepatocellular carcinomas; FLLs: Focal liver lesions.