Figure 3.

AUC for predicting recurrence and disease progression at the 12th month after completion of radiotherapy when radiomics features extracted from a single-sequence MRI were combined with clinical features for feature selection and model building. KNN, K-nearest neighbor; SVC, support vector classification; RF, random forest; FCN, fully connected network; AUC, the area under the receiver operating characteristic curve; T1WI, T1-weighted imaging; CE-T1WI, contrast-enhanced T1-weighted imaging; T2WI, T2-weighted imaging; FLAIR, fluid-attenuated inversion recovery; MRI, magnetic resonance imaging.