Development and validation of a deep learning-based automatic segmentation model for assessing intracranial volume: comparison with NeuroQuant, FreeSurfer, and SynthSeg

BACKGROUND AND PURPOSE: To develop and validate a deep learning-based automatic segmentation model for assessing intracranial volume (ICV) and to compare the accuracy determined by NeuroQuant (NQ), FreeSurfer (FS), and SynthSeg. MATERIALS AND METHODS: This retrospective study included 60 subjects [3...

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Detalles Bibliográficos
Autores principales: Suh, Pae Sun, Jung, Wooseok, Suh, Chong Hyun, Kim, Jinyoung, Oh, Jio, Heo, Hwon, Shim, Woo Hyun, Lim, Jae-Sung, Lee, Jae-Hong, Kim, Ho Sung, Kim, Sang Joon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Neurology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10503131/
https://www.ncbi.nlm.nih.gov/pubmed/37719763
http://dx.doi.org/10.3389/fneur.2023.1221892

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10503131/
https://www.ncbi.nlm.nih.gov/pubmed/37719763
http://dx.doi.org/10.3389/fneur.2023.1221892

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