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Retrospective cohort study demonstrates early warning of hepatocellular carcinoma in cirrhotic patients, highlighting potential benefits of deep learning radiomics.
The diagnosis of hepatocellular carcinoma (HCC) often experiences latency, ultimately leading to unfavorable patient outcomes due to delayed therapeutic interventions. Our study is designed to develop and validate a model that employs triple-phase computerized tomography (CT)-based deep learning radiomics and clinical variables for early warning of HCC in patients with cirrhosis.
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Guo et al. (2024) studied this question.
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