Deep learning-based radiomics based on contrast-enhanced ultrasound predicts early recurrence and survival outcome in hepatocellular carcinoma

Figure 3 Relationship between the deep learning-based radiomics model and benefit from retreatment after recurrence in matched patients. A: Four different risk classes were defined by early recurrence and overall survival predicted by the deep learning-based radiomics model; B-E: Kaplan-Meier curves of disease-free survival for patients who were stratified according to receipt of retreatment after recurrence. HR: Hazard ratio.