Automatic deep learning multicontrast corpus callosum segmentation in multiple sclerosis

BACKGROUND AND PURPOSE: Corpus callosum (CC) atrophy is predictive of future disability in multiple sclerosis (MS). However, current segmentation methods are either labor‐ or computationally intensive. We therefore developed an automated deep learning‐based CC segmentation tool and hypothesized that...

Descripción completa

Detalles Bibliográficos
Autores principales: Brusini, Irene, Platten, Michael, Ouellette, Russell, Piehl, Fredrik, Wang, Chunliang, Granberg, Tobias
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9304261/
https://www.ncbi.nlm.nih.gov/pubmed/35083815
http://dx.doi.org/10.1111/jon.12972

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9304261/
https://www.ncbi.nlm.nih.gov/pubmed/35083815
http://dx.doi.org/10.1111/jon.12972

Ejemplares similares