Head CT deep learning model is highly accurate for early infarct estimation

Non-contrast head CT (NCCT) is extremely insensitive for early (< 3–6 h) acute infarct identification. We developed a deep learning model that detects and delineates suspected early acute infarcts on NCCT, using diffusion MRI as ground truth (3566 NCCT/MRI training patient pairs). The model subst...

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Detalles Bibliográficos
Autores principales: Gauriau, Romane, Bizzo, Bernardo C., Comeau, Donnella S., Hillis, James M., Bridge, Christopher P., Chin, John K., Pawar, Jayashri, Pourvaziri, Ali, Sesic, Ivana, Sharaf, Elshaimaa, Cao, Jinjin, Noro, Flavia T. C., Wiggins, Walter F., Caton, M. Travis, Kitamura, Felipe, Dreyer, Keith J., Kalafut, John F., Andriole, Katherine P., Pomerantz, Stuart R., Gonzalez, Ramon G., Lev, Michael H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9814956/
https://www.ncbi.nlm.nih.gov/pubmed/36604467
http://dx.doi.org/10.1038/s41598-023-27496-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9814956/
https://www.ncbi.nlm.nih.gov/pubmed/36604467
http://dx.doi.org/10.1038/s41598-023-27496-5

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