A triple-modal network fusing CT, radiomics, and clinical text reaches 83.12% accuracy for chronic liver disease prognosis on a private 184-patient dataset, outperforming the compared baselines.
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TMI-CLNet: Triple-Modal Interaction Network for Chronic Liver Disease Prognosis From Imaging, Clinical, and Radiomic Data Fusion
A triple-modal network fusing CT, radiomics, and clinical text reaches 83.12% accuracy for chronic liver disease prognosis on a private 184-patient dataset, outperforming the compared baselines.