Table 5.

Performance of image-based machine learning after 10-fold cross validation.

TP	FN	FP	TN	Sensitivity	Specificity	Accuracy	AUC	PPV	NPV	LR+	LR−
88	5	15	27	0.946	0.643	0.852	0.828	0.854	0.843	2.649	0.084

AUC = area under receiver-operating curve, FN = false negative cases, FP = false positive cases, LR− = negative likelihood ratio, LR+ = positive likelihood ratio, NPV = negative predictive value, PPV = positive predictive value, TN = true negative cases, TP = true positive cases.