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Tissue at Risk and Ischemic Core Estimation Using Deep Learning in Acute Stroke

BACKGROUND AND PURPOSE: In acute stroke patients with large vessel occlusions, it would be helpful to be able to predict the difference in the size and location of the final infarct based on the outcome of reperfusion therapy. Our aim was to demonstrate the value of deep learning–based tissue at ris...

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Dettagli Bibliografici
Pubblicato in:AJNR Am J Neuroradiol
Autori principali: Yu, Y., Xie, Y., Thamm, T., Gong, E., Ouyang, J., Christensen, S., Marks, M.P., Lansberg, M.G., Albers, G.W., Zaharchuk, G.
Natura: Artigo
Lingua:Inglês
Pubblicazione: American Society of Neuroradiology 2021
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Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC8191664/
https://ncbi.nlm.nih.gov/pubmed/33766823
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3174/ajnr.A7081
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