Optimizing Deep Learning Algorithms for Segmentation of Acute Infarcts on Non-Contrast Material-enhanced CT Scans of the Brain Using Simulated Lesions.
Søren ChristensenMichael MlynashJulian MacLarenChristian FederauGregory W AlbersMaarten G LansbergPublished in: Radiology. Artificial intelligence (2021)
Symmetry-aware U-Nets offer promise for segmentation of acute stroke lesions on NCCT scans.Keywords: Adults, CT-Quantitative, StrokeSupplemental material is available for this article.© RSNA, 2021.
Keyphrases
- deep learning
- contrast enhanced
- dual energy
- computed tomography
- convolutional neural network
- magnetic resonance imaging
- image quality
- artificial intelligence
- magnetic resonance
- machine learning
- positron emission tomography
- liver failure
- white matter
- respiratory failure
- high resolution
- drug induced
- resting state
- aortic dissection
- extracorporeal membrane oxygenation
- acute respiratory distress syndrome
- intensive care unit
- cerebral ischemia
- mechanical ventilation