Automatic Ischemic Core Estimation Based on Noncontrast-Enhanced Computed Tomography.
Hidehisa NishiAkira IshiiHirofumi TsujiTakuya FuchigamiNatsuhi SasakiAtsushi TachibanaHirotaka ItoSusumu MiyamotoPublished in: Stroke (2023)
The deep learning-based ischemic core segmentation model, which was based on noncontrast-enhanced CT, demonstrated high accuracy in assessing ischemic core volume in patients with anterior circulation acute ischemic stroke.
Keyphrases
- deep learning
- acute ischemic stroke
- dual energy
- computed tomography
- convolutional neural network
- ischemia reperfusion injury
- positron emission tomography
- artificial intelligence
- image quality
- cerebral ischemia
- machine learning
- magnetic resonance imaging
- oxidative stress
- brain injury
- magnetic resonance
- neural network