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

J 2023

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

ZHU, K., F. BALA, J. ZHANG, F. BENALI, Petra CIMFLOVÁ et. al.

Základní údaje

Originální název

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., F. BALA, J. ZHANG, F. BENALI, Petra CIMFLOVÁ (203 Česká republika, domácí), B. J. KIM, R. MCDONOUGH, N. SINGH, M. D. HILL, M. GOYAL, A. DEMCHUK, B. K. MENON a W. QIU (garant)

Vydání

American Journal of Neuroradiology, Denville, American Society of Neuroradiology, 2023, 0195-6108

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

30224 Radiology, nuclear medicine and medical imaging

Stát vydavatele

Spojené státy

Utajení

není předmětem státního či obchodního tajemství

Odkazy

URL

Impakt faktor

Impact factor: 3.500 v roce 2022

Kód RIV

RIV/00216224:14110/23:00133284

Organizační jednotka

Lékařská fakulta

DOI

http://dx.doi.org/10.3174/ajnr.A7878

UT WoS

000992249000001

Klíčová slova anglicky

Intracranial Thrombus; Automated Segmentation; NCCT; CTA; Acute Ischemic Strok

Štítky

14110119

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 29. 1. 2024 12:10, Mgr. Tereza Miškechová

Anotace

V originále

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.

Citovat

ZHU, K., F. BALA, J. ZHANG, F. BENALI, Petra CIMFLOVÁ, B. J. KIM, R. MCDONOUGH, N. SINGH, M. D. HILL, M. GOYAL, A. DEMCHUK, B. K. MENON a W. QIU. Automated Segmentation of Intracranial Thrombus on NCCT and CTA in Patients with Acute Ischemic Stroke Using a Coarse-to-Fine Deep Learning Model. American Journal of Neuroradiology. Denville: American Society of Neuroradiology, 2023, roč. 44, č. 6, s. 641-648. ISSN 0195-6108. Dostupné z: https://dx.doi.org/10.3174/ajnr.A7878.

@article{2367134,
   author = {Zhu, K. and Bala, F. and Zhang, J. and Benali, F. and Cimflová, Petra and Kim, B. J. and McDonough, R. and Singh, N. and Hill, M. D. and Goyal, M. and Demchuk, A. and Menon, B. K. and Qiu, W.},
   article_location = {Denville},
   article_number = {6},
   doi = {http://dx.doi.org/10.3174/ajnr.A7878},
   keywords = {Intracranial Thrombus; Automated Segmentation; NCCT; CTA; Acute Ischemic Strok},
   language = {eng},
   issn = {0195-6108},
   journal = {American Journal of Neuroradiology},
   title = {Automated Segmentation of Intracranial Thrombus on NCCT and CTA in Patients with Acute Ischemic Stroke Using a Coarse-to-Fine Deep Learning Model},
   url = {https://www.ajnr.org/content/44/6/641},
   volume = {44},
   year = {2023}
}

TY  - JOUR
ID  - 2367134
AU  - 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.
PY  - 2023
TI  - Automated Segmentation of Intracranial Thrombus on NCCT and CTA in Patients with Acute Ischemic Stroke Using a Coarse-to-Fine Deep Learning Model
JF  - American Journal of Neuroradiology
VL  - 44
IS  - 6
SP  - 641-648
EP  - 641-648
PB  - American Society of Neuroradiology
SN  - 01956108
KW  - Intracranial Thrombus
KW  - Automated Segmentation
KW  - NCCT
KW  - CTA
KW  - Acute Ischemic Strok
UR  - https://www.ajnr.org/content/44/6/641
N2  - 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.
ER  -

ZHU, K., F. BALA, J. ZHANG, F. BENALI, Petra CIMFLOVÁ, B. J. KIM, R. MCDONOUGH, N. SINGH, M. D. HILL, M. GOYAL, A. DEMCHUK, B. K. MENON a W. QIU. Automated Segmentation of Intracranial Thrombus on NCCT and CTA in Patients with Acute Ischemic Stroke Using a Coarse-to-Fine Deep Learning Model. \textit{American Journal of Neuroradiology}. Denville: American Society of Neuroradiology, 2023, roč.~44, č.~6, s.~641-648. ISSN~0195-6108. Dostupné z: https://dx.doi.org/10.3174/ajnr.A7878.

Podrobný výpis o publikaci