Deep learning-based system to predict hepatocellular carcinoma resection volume using contrast-enhanced CT

Key Points

• Resection volume predictions significantly improve surgical planning for hepatocellular carcinoma.
• The model achieves a predictive accuracy of 85% using advanced imaging techniques.
• Assessment using contrast-enhanced CT facilitates precise measurement of tumor volumes.
• Deep learning models may enhance decision-making in surgical interventions for liver cancer.