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Fig. 4 | BMC Cancer

Fig. 4

From: Radiomic assessment as a method for predicting tumor mutation burden (TMB) of bladder cancer patients: a feasibility study

Fig. 4

Model visualization using nomogram (A) and 10,000 bootstrapping validation (B-D). A. TMB-predicting model visualized by Nomogram. B. ROC curve reflecting the predictive accuracy of the model. Blue area shows the 95%CI of the AUC. C. Calibration curves showing the predicted versus actual probability of high TMB status; D. Decision curve of the model. The X-axis shows the threshold probabilities while the Y-axis shows the net benefit (adding true positives and subtracting false positives). TMB: Tumor mutation burden; ROC: Receiver operating characteristic

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