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
Citace
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.