Cargando…
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...
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: | |
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 |
Ejemplares similares
-
Impact of Multiphase Computed Tomography Angiography for Endovascular Treatment Decision-Making on Outcomes in Patients with Acute Ischemic Stroke
por: Ospel, Johanna M., et al.
Publicado: (2021) -
Endovascular Therapy for Ischemic Stroke
por: Appireddy, Ramana M R, et al.
Publicado: (2015) -
Functional Outcome Prediction in Ischemic Stroke: A Comparison of Machine Learning Algorithms and Regression Models
por: Alaka, Shakiru A., et al.
Publicado: (2020) -
Optimal Multiphase Computed Tomographic Angiography-based Infarct Core Estimations for Acute Ischemic Stroke
por: Lee, Seong-Joon, et al.
Publicado: (2019) -
A Review on Adjunctive Therapies for Endovascular Treatment in Acute Ischemic Stroke
por: Goyal, Mayank, et al.
Publicado: (2023)