| 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. |
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@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.
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