Non-inferiority of deep learning ischemic stroke segmentation on non-contrast CT within 16-hours compared to expert neuroradiologists

We determined if a convolutional neural network (CNN) deep learning model can accurately segment acute ischemic changes on non-contrast CT compared to neuroradiologists. Non-contrast CT (NCCT) examinations from 232 acute ischemic stroke patients who were enrolled in the DEFUSE 3 trial were included...

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Detalles Bibliográficos
Autores principales: Ostmeier, Sophie, Axelrod, Brian, Verhaaren, Benjamin F. J., Christensen, Soren, Mahammedi, Abdelkader, Liu, Yongkai, Pulli, Benjamin, Li, Li-Jia, Zaharchuk, Greg, Heit, Jeremy J.
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/PMC10522706/
https://www.ncbi.nlm.nih.gov/pubmed/37752162
http://dx.doi.org/10.1038/s41598-023-42961-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10522706/
https://www.ncbi.nlm.nih.gov/pubmed/37752162
http://dx.doi.org/10.1038/s41598-023-42961-x

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