Automated ASPECTS on Noncontrast CT Scans in Patients with Acute Ischemic Stroke Using Machine Learning
Published 2018 View Full Article
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Title
Automated ASPECTS on Noncontrast CT Scans in Patients with Acute Ischemic Stroke Using Machine Learning
Authors
Keywords
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Journal
AMERICAN JOURNAL OF NEURORADIOLOGY
Volume 40, Issue 1, Pages 33-38
Publisher
American Society of Neuroradiology (ASNR)
Online
2018-11-30
DOI
10.3174/ajnr.a5889
References
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Related references
Note: Only part of the references are listed.- Performance of e-ASPECTS software in comparison to that of stroke physicians on assessing CT scans of acute ischemic stroke patients
- (2016) Christian Herweh et al. International Journal of Stroke
- e-ASPECTS software is non-inferior to neuroradiologists in applying the ASPECT score to computed tomography scans of acute ischemic stroke patients
- (2016) Simon Nagel et al. International Journal of Stroke
- Endovascular thrombectomy after large-vessel ischaemic stroke: a meta-analysis of individual patient data from five randomised trials
- (2016) Mayank Goyal et al. LANCET
- Effect of baseline Alberta Stroke Program Early CT Score on safety and efficacy of intra-arterial treatment: a subgroup analysis of a randomised phase 3 trial (MR CLEAN)
- (2016) Albert J Yoo et al. LANCET NEUROLOGY
- Randomized Assessment of Rapid Endovascular Treatment of Ischemic Stroke
- (2015) Mayank Goyal et al. NEW ENGLAND JOURNAL OF MEDICINE
- Classifiers for Ischemic Stroke Lesion Segmentation: A Comparison Study
- (2015) Oskar Maier et al. PLoS One
- Computer-Aided Diagnosis of Hyperacute Stroke with Thrombolysis Decision Support Using a Contralateral Comparative Method of CT Image Analysis
- (2014) Yao Shieh et al. JOURNAL OF DIGITAL IMAGING
- Impact of Diffusion-Weighted Imaging Alberta Stroke Program Early Computed Tomography Score on the Success of Endovascular Reperfusion Therapy
- (2014) Manabu Inoue et al. STROKE
- Prediction of stroke thrombolysis outcome using CT brain machine learning
- (2014) Paul Bentley et al. NeuroImage-Clinical
- Computer aided detection of ischemic stroke using segmentation and texture features
- (2013) N. Hema Rajini et al. MEASUREMENT
- DWI-ASPECTS as a Predictor of Dramatic Recovery After Intravenous Recombinant Tissue Plasminogen Activator Administration in Patients With Middle Cerebral Artery Occlusion
- (2012) Junya Aoki et al. STROKE
- Regional Leptomeningeal Score on CT Angiography Predicts Clinical and Imaging Outcomes in Patients with Acute Anterior Circulation Occlusions
- (2011) B.K. Menon et al. AMERICAN JOURNAL OF NEURORADIOLOGY
- An image feature approach for computer-aided detection of ischemic stroke
- (2011) Fuk-hay Tang et al. COMPUTERS IN BIOLOGY AND MEDICINE
- ASPECTS and Other Neuroimaging Scores in the Triage and Prediction of Outcome in Acute Stroke Patients
- (2011) Bijoy K. Menon et al. NEUROIMAGING CLINICS OF NORTH AMERICA
- Pretreatment ASPECTS on DWI predicts 3-month outcome following rt-PA: SAMURAI rt-PA Registry
- (2010) T. Nezu et al. NEUROLOGY
- Multi-atlas based segmentation of brain images: Atlas selection and its effect on accuracy
- (2009) P. Aljabar et al. NEUROIMAGE
- Extremely Early Computed Tomography Signs in Hyperacute Ischemic Stroke as a Predictor of Parenchymal Hematoma
- (2008) Shuhei Okazaki et al. CEREBROVASCULAR DISEASES
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