Automated Segmentation of Intracranial Thrombus on NCCT and CTA in Patients with Acute Ischemic Stroke Using a Coarse-to-Fine Deep Learning Model

• Autoři: ZHU K.; BALA F.; ZHANG J.; BENALI F.; CIMFLOVÁ Petra; KIM B. J.; MCDONOUGH R.; SINGH N.; HILL M. D.; GOYAL M.; DEMCHUK A.; MENON B. K.; QIU W.
• Rok publikování: 2023
• Druh: Článek v odborném periodiku
• Časopis / Zdroj: American Journal of Neuroradiology
• Fakulta / Pracoviště MU: Lékařská fakulta
• www: https://www.ajnr.org/content/44/6/641
• Doi: http://dx.doi.org/10.3174/ajnr.A7878
• Klíčová slova: Intracranial Thrombus; Automated Segmentation; NCCT; CTA; Acute Ischemic Strok
• Popis: BACKGROUND AND PURPOSE: Identifying the presence and extent of intracranial thrombi is crucial in selecting patients with acute ischemic stroke for treatment. This article aims to develop an automated approach to quantify thrombus on NCCT and CTA in patients with stroke.