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1 Ergebnisse
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Development and validation of a deep learning-based automat..:
Pae Sun Suh
;
Wooseok Jung
;
Chong Hyun Suh
...
https://www.frontiersin.org/articles/10.3389/fneur.2023.1221892/full. , 2023
Link:
https://doi.org/10.3389/fneur.2023.1221892
RT Journal T1 <Title>Development and validation of a deep learning-based automatic segmentation model for assessing intracranial volume: comparison with NeuroQuant, FreeSurfer, and SynthSeg</Title> UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:1a2599d871354aa9803792e7f53487ba&Exemplar=1&LAN=DE A1 Pae Sun Suh A1 Wooseok Jung A1 Chong Hyun Suh A1 Jinyoung Kim A1 Jio Oh A1 Hwon Heo A1 Woo Hyun Shim A1 Jae-Sung Lim A1 Jae-Hong Lee A1 Ho Sung Kim A1 Sang Joon Kim PB Frontiers Media S.A. YR 2023 K1 deep learning K1 artificial intelligence K1 brain K1 intracranial volume segmentation K1 neurodegenerative disease K1 Neurology. Diseases of the nervous system K1 RC346-429 JF https://www.frontiersin.org/articles/10.3389/fneur.2023.1221892/full LK http://dx.doi.org/https://doi.org/10.3389/fneur.2023.1221892 DO https://doi.org/10.3389/fneur.2023.1221892 SF ELIB - SuUB Bremen
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