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Fig. 4 | BMC Cancer

Fig. 4

From: Prediction of the Ki-67 expression level in head and neck squamous cell carcinoma with machine learning-based multiparametric MRI radiomics: a multicenter study

Fig. 4

ROC analysis results (A) and DeLong’s tests (P value) of different radiomics signatures (B) in the internal validation cohort (left) and external validation cohort (right). ACC, accuracy; AUC, area under the curve; KNN, k-nearest neighbors; LDA, linear discriminant analysis; LR, logistic regression; NB, naive Bayes; RF, random forest; ROC, receiver operating characteristic; SEN, sensitivity; SPE, specificity; SVM, support vector machine; XGBoost, eXtreme Gradient Boosting

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