Deep learning-based detection and segmentation of diffusion abnormalities in acute ischemic stroke

BACKGROUND: Accessible tools to efficiently detect and segment diffusion abnormalities in acute strokes are highly anticipated by the clinical and research communities. METHODS: We developed a tool with deep learning networks trained and tested on a large dataset of 2,348 clinical diffusion weighted...

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Detalles Bibliográficos
Autores principales: Liu, Chin-Fu, Hsu, Johnny, Xu, Xin, Ramachandran, Sandhya, Wang, Victor, Miller, Michael I., Hillis, Argye E., Faria, Andreia V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9053217/
https://www.ncbi.nlm.nih.gov/pubmed/35602200
http://dx.doi.org/10.1038/s43856-021-00062-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9053217/
https://www.ncbi.nlm.nih.gov/pubmed/35602200
http://dx.doi.org/10.1038/s43856-021-00062-8

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