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.

Basic information

Original name

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

Authors

ZHU, K., F. BALA, J. ZHANG, F. BENALI, Petra CIMFLOVÁ (203 Czech Republic, belonging to the institution), B. J. KIM, R. MCDONOUGH, N. SINGH, M. D. HILL, M. GOYAL, A. DEMCHUK, B. K. MENON and W. QIU (guarantor)

Edition

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

Other information

Language

English

Type of outcome

Článek v odborném periodiku

Field of Study

30224 Radiology, nuclear medicine and medical imaging

Country of publisher

United States of America

Confidentiality degree

není předmětem státního či obchodního tajemství

References:

URL

Impact factor

Impact factor: 3.500 in 2022

RIV identification code

RIV/00216224:14110/23:00133284

Organization unit

Faculty of Medicine

DOI

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

UT WoS

000992249000001

Keywords in English

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

Abstract

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 and 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, vol. 44, No 6, p. 641-648. ISSN 0195-6108. Available from: 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 and 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, vol.~44, No~6, p.~641-648. ISSN~0195-6108. Available from: https://dx.doi.org/10.3174/ajnr.A7878.

Detailed Information on Publication Record