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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 to build predictive models. KNN, K-nearest neighbor; SVC, support vector classification; RF, random forest; FCN, fully connected network; AUC, the area under the receiver operating characteristic curve; T2WI, T2-weighted imaging; FLAIR, fluid-attenuated inversion recovery; MRI, magnetic resonance imaging.
