A Multiparametric Fusion Radiomics Signature Based on Contrast-Enhanced MRI for Predicting Early Recurrence of Hepatocellular Carcinoma

<div>Calibration curves for the training (a) and validation (b) datasets. The <i>x</i>-axis typifies the predicted probability of the nomogram for early recurrence, the <i>y</i>-axis is the actual early recurrence rate in the patients, and the grey diagonal solid line indicates an ideal prediction by the predictive model.</div>

Journal of Oncology

fig4

Figure 4

Figure 4: A Multiparametric Fusion Radiomics Signature Based on Contrast-Enhanced MRI for Predicting Early Recurrence of Hepatocellular Carcinoma 