Convolutional Neural Network for Fully Automated Cerebellar Volumetry in Children in Comparison to Manual Segmentation and Developmental Trajectory of Cerebellar Volumes.
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| Title: | Convolutional Neural Network for Fully Automated Cerebellar Volumetry in Children in Comparison to Manual Segmentation and Developmental Trajectory of Cerebellar Volumes. |
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| Authors: | Sobootian DJ; Institute of Diagnostic and Interventional Neuroradiology, Hannover Medical School, Hannover, Germany., Bronzlik P; Institute of Diagnostic and Interventional Neuroradiology, Hannover Medical School, Hannover, Germany., Spineli LM; Midwifery Research and Education Unit, Hannover Medical School, Hannover, Germany., Becker LS; Institute of Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany., Winther HB; Institute of Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany., Bueltmann E; Institute of Diagnostic and Interventional Neuroradiology, Hannover Medical School, Hannover, Germany. bueltmann.eva@mh-hannover.de. |
| Source: | Cerebellum (London, England) [Cerebellum] 2024 Jun; Vol. 23 (3), pp. 1074-1085. Date of Electronic Publication: 2023 Oct 13. |
| Publication Type: | Journal Article; Comparative Study |
| Journal Info: | Publisher: Springer Country of Publication: United States NLM ID: 101089443 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1473-4230 (Electronic) Linking ISSN: 14734222 NLM ISO Abbreviation: Cerebellum Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1473-4230 |
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| DOI: | 10.1007/s12311-023-01609-2 |
