fig5

Multi-task neural network enhanced by data augmentation and ROI optimization for prognosis and MVI prediction in HCC using contrast-enhanced CT

Figure 5. Goodness-of-fit assessment via calibration plots. These diagrams demonstrate the agreement between the model’s predicted probabilities and the observed clinical outcomes. The panels are organized by metric: (A-C) for overall survival, (D-F) for recurrence-free survival, and (G-I) for the prediction of MVI status. Each metric is evaluated across the training, internal validation, and external validation cohorts. OS: Overall survival; RFS: recurrence-free survival; MVI: microvascular invasion; CI: confidence interval; M0: no microvascular invasion; M1-M2: presence of microvascular invasion.

Hepatoma Research
ISSN 2454-2520 (Online) 2394-5079 (Print)

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