Deep Learning Algorithm Trained on Brain Magnetic Resonance Images and Clinical Data to Predict Motor Outcomes of Patients With Corona Radiata Infarct

The early and accurate prediction of the extent of long-term motor recovery is important for establishing specific rehabilitation strategies for stroke patients. Using clinical parameters and brain magnetic resonance images as inputs, we developed a deep learning algorithm to increase the prediction...

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Detalles Bibliográficos
Autores principales: Kim, Jeoung Kun, Chang, Min Cheol, Park, Donghwi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8763312/
https://www.ncbi.nlm.nih.gov/pubmed/35046770
http://dx.doi.org/10.3389/fnins.2021.795553

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8763312/
https://www.ncbi.nlm.nih.gov/pubmed/35046770
http://dx.doi.org/10.3389/fnins.2021.795553

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