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A deep learning approach to predict collateral flow in stroke patients using radiomic features from perfusion images

Collateral circulation results from specialized anastomotic channels which are capable of providing oxygenated blood to regions with compromised blood flow caused by arterial obstruction. The quality of collateral circulation has been established as a key factor in determining the likelihood of a fa...

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Detalles Bibliográficos
Principais autores: Giles Tetteh, Fernando Navarro, Raphael Meier, Johannes Kaesmacher, Johannes C. Paetzold, Jan S. Kirschke, Claus Zimmer, Roland Wiest, Bjoern H. Menze
Formato: Artigo
Idioma:Inglês
Publicado: Frontiers Media S.A. 2023-02-01
Series:Frontiers in Neurology
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Acceso en liña:https://www.frontiersin.org/articles/10.3389/fneur.2023.1039693/full
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