FastSurferVINN: Building resolution-independence into deep learning segmentation methods—A solution for HighRes brain MRI

Leading neuroimaging studies have pushed 3T MRI acquisition resolutions below 1.0 mm for improved structure definition and morphometry. Yet, only few, time-intensive automated image analysis pipelines have been validated for high-resolution (HiRes) settings. Efficient deep learning approaches, on th...

Descripción completa

Detalles Bibliográficos
Autores principales: Henschel, Leonie, Kügler, David, Reuter, Martin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9801435/
https://www.ncbi.nlm.nih.gov/pubmed/35122967
http://dx.doi.org/10.1016/j.neuroimage.2022.118933

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9801435/
https://www.ncbi.nlm.nih.gov/pubmed/35122967
http://dx.doi.org/10.1016/j.neuroimage.2022.118933

Ejemplares similares