The quantification of lung opacification in COVID-19 measured at chest CT by using a commercially available deep learning-based tool was significantly different among groups with different clinical severity. This approach could potentially eliminate the subjectivity in the initial assessment and follow-up of pulmonary findings in COVID-19.Supplemental material is available for this article.© RSNA, 2020.
Keyphrases
- coronavirus disease
- deep learning
- sars cov
- computed tomography
- image quality
- contrast enhanced
- dual energy
- respiratory syndrome coronavirus
- artificial intelligence
- convolutional neural network
- machine learning
- positron emission tomography
- high resolution
- magnetic resonance imaging
- magnetic resonance
- clinical evaluation