Development and clinical application of a deep learning model to identify acute infarct on magnetic resonance imaging

Stroke is a leading cause of death and disability. The ability to quickly identify the presence of acute infarct and quantify the volume on magnetic resonance imaging (MRI) has important treatment implications. We developed a machine learning model that used the apparent diffusion coefficient and di...

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Detalles Bibliográficos
Autores principales: Bridge, Christopher P., Bizzo, Bernardo C., Hillis, James M., Chin, John K., Comeau, Donnella S., Gauriau, Romane, Macruz, Fabiola, Pawar, Jayashri, Noro, Flavia T. C., Sharaf, Elshaimaa, Straus Takahashi, Marcelo, Wright, Bradley, Kalafut, John F., Andriole, Katherine P., Pomerantz, Stuart R., Pedemonte, Stefano, González, R. Gilberto
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8828773/
https://www.ncbi.nlm.nih.gov/pubmed/35140277
http://dx.doi.org/10.1038/s41598-022-06021-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8828773/
https://www.ncbi.nlm.nih.gov/pubmed/35140277
http://dx.doi.org/10.1038/s41598-022-06021-0

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