Infratentorial lesions in multiple sclerosis patients: intra- and inter-rater variability in comparison to a fully automated segmentation using 3D convolutional neural networks
Julia Krüger, Ann‐Christin Ostwaldt, Lothar Spies, Benjamin Geisler, Alexander Schlaefer, Hagen H. Kitzler, Sven Schippling, Roland Opfer
Topics & Concepts
Convolutional neural networkMedicineFluid-attenuated inversion recoveryNeuroradiologyRadiologyMagnetic resonance imagingSegmentationLesionMultiple sclerosisArtificial intelligenceNeurologyPathologyComputer sciencePsychiatryMultiple Sclerosis Research StudiesAI in cancer detectionBrain Tumor Detection and Classification