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Infratentorial lesions in multiple sclerosis patients: intra- and inter-rater variability in comparison to a fully automated segmentation using 3D convolutional neural networks

Multiple Sclerosis PatientsEngineeringNeuroimaging ModalityMedical ImagingMedical Image ComputingBiomedical ImagingConvolutional Neural NetworksInfratentorial LesionsNeuroimagingNeurologyNeuroscienceMultiple SclerosisBrain LesionDeep LearningMedicineMedical Image AnalysisRadiology