Machine Learning for Detecting Early Infarction in Acute Stroke with Non–Contrast-enhanced CT-Reference-Cited by-同舟云学术

Machine Learning for Detecting Early Infarction in Acute Stroke with Non–Contrast-enhanced CT

Published:2020-03 Issue:3 Volume:294 Page:638-644
ISSN:0033-8419
Container-title:Radiology
language:en
Short-container-title:Radiology

Author:

Qiu Wu^ORCID,Kuang Hulin^ORCID,Teleg Ericka,Ospel Johanna M.^ORCID,Sohn Sung Il^ORCID,Almekhlafi Mohammed^ORCID,Goyal Mayank^ORCID,Hill Michael D.^ORCID,Demchuk Andrew M.,Menon Bijoy K.^ORCID

Funder

Canadian Institutes of Health Research

Publisher

Radiological Society of North America (RSNA)

Subject

Radiology Nuclear Medicine and imaging

Link

http://pubs.rsna.org/doi/pdf/10.1148/radiol.2020191193

Reference24 articles.

1. Randomized Assessment of Rapid Endovascular Treatment of Ischemic Stroke

2. Endovascular thrombectomy after large-vessel ischaemic stroke: a meta-analysis of individual patient data from five randomised trials

3. Stent-Retriever Thrombectomy after Intravenous t-PA vs. t-PA Alone in Stroke

4. Imaging features and safety and efficacy of endovascular stroke treatment: a meta-analysis of individual patient-level data

5. Validity and reliability of a quantitative computed tomography score in predicting outcome of hyperacute stroke before thrombolytic therapy

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