Convolutional Neural Network for Fully Automated Cerebellar Volumetry in Children in Comparison to Manual Segmentation and Developmental Trajectory of Cerebellar Volumes
Sobootian D, Bronzlik P, Spineli L, Becker L, Winther H, Bueltmann E. Convolutional Neural Network for Fully Automated Cerebellar Volumetry in Children in Comparison to Manual Segmentation and Developmental Trajectory of Cerebellar Volumes. The Cerebellum 2023, 23: 1074-1085. PMID: 37833550, PMCID: PMC11102395, DOI: 10.1007/s12311-023-01609-2.Peer-Reviewed Original ResearchConceptsCerebellar volumeConvolutional neural networkCerebellum of childrenPediatric MRI examinationsAge-related volume changesT1-weighted magnetizationCerebellar volume measurementsNeural networkManual segmentationCerebellar volumetryComparison to manual segmentationSpearman correlation coefficientMRI examinationsSignal abnormalitiesConventional MRIITK-SNAPCerebellar volume changesClinical useDeep learning algorithmsVolume measurementsVolumetryCerebellumLearning algorithmsGradient echoTrained NN
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