Prior Knowledge-Aware Fusion Network for Prediction of Macrovascular Invasion in Hepatocellular Carcinoma

We propose a prior knowledge-aware fusion network for early prediction of macrovascular invasion (MVI) in hepatocellular carcinoma (HCC) patients. The model fuses liver CT imaging and clinical indicators, introducing word vector encoding to enhance representation of clinical features. Assists clinicians in treatment decision-making and reduces the risk of over-treatment.

Venue: IEEE Transactions on Medical Imaging — CAS Q1, JCR Q1 Top, IF: 10.048
Role: First Author

Recommended citation: Haoran Lai, et al. "Prior Knowledge-Aware Fusion Network for Prediction of Macrovascular Invasion in Hepatocellular Carcinoma." IEEE Transactions on Medical Imaging, 2022.
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