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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.
Journal of Stroke ( IF 6.0 ) Pub Date : 2021-05-31 , DOI: 10.5853/jos.2020.05064
Wu Qiu , Hulin Kuang , Johanna M. Ospel , Michael D. Hill , Andrew M. Demchuk , Mayank Goyal , Bijoy K. Menon

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.

中文翻译:

使用机器学习从急性缺血性中风患者的多相计算机断层扫描血管造影术中自动预测缺血性脑组织命运。

多相计算机断层扫描血管造影 (mCTA) 可提供供应急性缺血性中风 (AIS) 患者大脑的软膜血管系统的时变图像。开发一种机器学习 (ML) 技术,从 mCTA 源图像预测组织灌注和梗死。
更新日期:2021-06-11
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