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An interpretable machine learning model based on contrast-enhanced CT parameters for predicting treatment response to conventional transarterial chemoembolization in patients with hepatocellular carcinoma

EngineeringHepatologyMedical ImagingMachine LearningConventional Transarterial ChemoembolizationMedicineBiomedical ImagingTreatment ResponseRadiomicsContrast-enhanced Ct ParametersLiver CancerMedical Image ComputingOncologyRadiation OncologyHepatocellular CarcinomaRadiology