QR-Code

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...

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser: Giles Tetteh, Fernando Navarro, Raphael Meier, Johannes Kaesmacher, Johannes C. Paetzold, Jan S. Kirschke, Claus Zimmer, Roland Wiest, Bjoern H. Menze
Format: Artigo
Sprache:Inglês
Veröffentlicht: Frontiers Media S.A. 2023-02-01
Schriftenreihe:Frontiers in Neurology
Schlagworte:
collateral flow
radiomics
perfusion
reinforcement learning
image descriptors
angiography
Online-Zugang:https://www.frontiersin.org/articles/10.3389/fneur.2023.1039693/full
Tags: Tag hinzufügen
Keine Tags, Fügen Sie das erste Tag hinzu!

Ähnliche Einträge