Fig. 5From: Prediction of the Ki-67 expression level in head and neck squamous cell carcinoma with machine learning-based multiparametric MRI radiomics: a multicenter studyA Confusion matrices and (B) ROC curves of Ki-67 expression level classification for different models in the training, internal validation, and external validation cohorts. A Confusion matrices of the clinical model, radiomics model, and fusion model. The color depends on the number inside the square: the higher the number, the darker the color. B ROC curves of different models for predicting Ki-67 expression levels and the results of DeLong’s tests. AUC, area under the curve; ROC, receiver operating characteristicBack to article page