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.
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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  Data: 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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  Data: <searchLink fieldCode="JN" term="%22101089443%22">Cerebellum (London, England)</searchLink> [Cerebellum] 2024 Jun; Vol. 23 (3), pp. 1074-1085. <i>Date of Electronic Publication: </i>2023 Oct 13.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Springer%22">Springer </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>101089443 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1473-4230 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2214734222%22">14734222 </searchLink><i>NLM ISO Abbreviation: </i>Cerebellum <i>Subsets: </i>MEDLINE
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        Value: 10.1007/s12311-023-01609-2
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              Text: 2024 Jun
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