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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Detalles Bibliográficos
Autores principales: Qiu, Wu, Kuang, Hulin, Ospel, Johanna M., Hill, Michael D., Demchuk, Andrew M., Goyal, Mayank, Menon, Bijoy K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Stroke Society 2021
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8189856/
https://www.ncbi.nlm.nih.gov/pubmed/34102758
http://dx.doi.org/10.5853/jos.2020.05064

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8189856/
https://www.ncbi.nlm.nih.gov/pubmed/34102758
http://dx.doi.org/10.5853/jos.2020.05064

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