Machine-learning classification of texture features of portable chest X-ray accurately classifies COVID-19 lung infection.
Lal HussainTony NguyenHaifang LiAdeel A AbbasiKashif J LoneZirun ZhaoMahnoor ZaibAnne ChenTim Q DuongPublished in: Biomedical engineering online (2020)
AI classification of texture and morphological features of portable CXRs accurately distinguishes COVID-19 lung infection in patients in multi-class datasets. Deep-learning methods have the potential to improve diagnostic efficiency and accuracy for portable CXRs.
Keyphrases
- deep learning
- machine learning
- artificial intelligence
- coronavirus disease
- sars cov
- end stage renal disease
- newly diagnosed
- ejection fraction
- convolutional neural network
- low cost
- big data
- high resolution
- computed tomography
- patient reported outcomes
- magnetic resonance imaging
- mass spectrometry
- risk assessment
- electron microscopy