Use of Deep Learning to Predict Final Ischemic Stroke Lesions From Initial Magnetic Resonance Imaging

IMPORTANCE: Predicting infarct size and location is important for decision-making and prognosis in patients with acute stroke. OBJECTIVES: To determine whether a deep learning model can predict final infarct lesions using magnetic resonance images (MRIs) acquired at initial presentation (baseline) a...

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Detalles Bibliográficos
Autores principales: Yu, Yannan, Xie, Yuan, Thamm, Thoralf, Gong, Enhao, Ouyang, Jiahong, Huang, Charles, Christensen, Soren, Marks, Michael P., Lansberg, Maarten G., Albers, Gregory W., Zaharchuk, Greg
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Medical Association 2020
Materias:
Original Investigation
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7068232/
https://www.ncbi.nlm.nih.gov/pubmed/32163165
http://dx.doi.org/10.1001/jamanetworkopen.2020.0772

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7068232/
https://www.ncbi.nlm.nih.gov/pubmed/32163165
http://dx.doi.org/10.1001/jamanetworkopen.2020.0772

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