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Fig. 6 | BMC Cancer

Fig. 6

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. 6

The nomogram, calibration curves, and DCA. A The fusion nomogram incorporating the SVM-based Rad-score and clinical characteristics (clinical T stage and MR-reported lymph node status) for predicting the probability of high Ki-67 expression (Ki-67 index ≥ 50%). B The calibration curves of the fusion model in the training, internal validation, and external validation cohorts. C The DCA results of the clinical model, radiomics model, and fusion model in the three cohorts. DCA, decision curve analysis; MR, magnetic resonance; SVM, support vector machine

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