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Automated Prediction of Ischemic Brain Tissue Fate from Multiphase Computed Tomographic Angiography in Patients with Acute Ischemic Stroke Using Machine Learning
BACKGROUND AND PURPOSE: Multiphase computed tomographic angiography (mCTA) provides time variant images of pial vasculature supplying brain in patients with acute ischemic stroke (AIS). To develop a machine learning (ML) technique to predict tissue perfusion and infarction from mCTA source images. M...
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| 出版年: | J Stroke |
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| 主要な著者: | , , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Korean Stroke Society
2021
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8189856/ https://ncbi.nlm.nih.gov/pubmed/34102758 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.5853/jos.2020.05064 |
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