Cargando…
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...
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: | |
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 |
Ejemplares similares
-
A large public dataset of annotated clinical MRIs and metadata of patients with acute stroke
por: Liu, Chin-Fu, et al.
Publicado: (2023) -
Automatic comprehensive aspects reports in clinical acute stroke MRIs
por: Liu, Chin-Fu, et al.
Publicado: (2023) -
Editorial: The Ischemic Penumbra: Still the Target for Stroke Therapies?
por: Hillis, Argye E., et al.
Publicado: (2015) -
Automatic comprehensive radiological reports for clinical acute stroke MRIs
por: Liu, Chin-Fu, et al.
Publicado: (2023) -
Emotional and qualitative outcomes among patients with left and right hemisphere stroke
por: Stockbridge, Melissa D., et al.
Publicado: (2022)