Fig. 5 | Scientific Reports

Fig. 5

From: The value of MRI-based radiomics and clinicoradiological data for the detection of forkhead box protein A1 gene mutated prostate cancer

Fig. 5

Receiver operating characteristic (ROC) curves of the MRI-based radiomics predictive models for forkhead box protein A1 (FOXA1) mutation discrimination in training (A), internal validation (B), and external validation (C) datasets. The values of area under the ROC curve (AUC) were listed as mean (95% confidence interval). In internal (B) and external validation (C), the random forest (RF) model exhibited significantly higher AUCs than those of logistic regression (LR) and support vector machine (SVM) model.

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