Table 3.

The model validation of classifiers.

Model	Method	Specificity	Sensitivity	Accuracy	AUC
radiomics model	SVM	0.923	0.778	0.839	0.905
	Random Forest	0.769	0.722	0.742	0.808
	AdaBoost	0.692	0.722	0.710	0.778
hybrid models	SVM	0.928	0.882	0.903	0.958
	Random Forest	0.714	0.882	0.806	0.861
	AdaBoost	0.786	0.765	0.774	0.832

The specificity, sensitivity, accuracy, and AUC of each model. SVM, support vector machine; AUC, the areas under the receiver operating characteristic curve.