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Document type:
Zeitschriftenaufsatz
Author(s):
Tetteh, Giles ; Navarro, Fernando ; Meier, Raphael ; Kaesmacher, Johannes ; Paetzold, Johannes C. ; Kirschke, Jan S. ; Zimmer, Claus ; Wiest, Roland ; Menze, Bjoern H.
Title:
A deep learning approach to predict collateral flow in stroke patients using radiomic features from perfusion images
Keywords:
Neurology ; collateral flow ; radiomics ; perfusion ; reinforcement learning ; image descriptors ; angiography ; auto-encoder ; deep learning
Journal title:
Frontiers in Neurology
Year:
2023
Journal volume:
14
Fulltext / DOI:
doi:10.3389/fneur.2023.1039693
Publisher:
Frontiers Media S.A.
E-ISSN:
1664-2295
Date of publication:
21.02.2023
CC license:
by, https://creativecommons.org/licenses/by/4.0
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