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Abstract Background Eligibility criteria are the primary strategy for screening the target participants of a clinical trial. Automated classification of clinical trial eligibility criteria text by using machine learning methods improves recruitment efficiency to reduce the cost of clinical research. However. existing methods suffer from poor classification performance due to the compl...

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Abstract Background Hepatocellular carcinoma (HCC) is the most common primary malignancy of the liver and the second leading cause of cancer death in the world. It is the only tumor that can be diagnosed by imaging only. without a need for histopathological confirmation. CT and MR are the imaging techniques that often allow making a definite diagnosis.