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Application of a Machine Learning Approach for the Analysis of Clinical and Radiomic Features of Pretreatment [18F]-FDG PET/CT to Predict Prognosis of Patients with Endometrial Cancer

EngineeringOncologic ImagingMedical ImagingCancer DetectionMedicineMachine Learning ApproachDiagnostic ImagingDiagnosisGynecologyComputer-aided DiagnosisPredict PrognosisRadiomicsEndometrial CancerMedical Image ComputingOncologyNuclear MedicineGynecology OncologyRadiology