Grayscale image statistics of COVID-19 patient CT scans characterize lung condition with machine and deep learning.

Sara Ghashghaei David A Wood Erfan Sadatshojaei Mansooreh Jalilpoor

Published in: Chronic diseases and translational medicine (2022)

Grayscale CT image attributes can be successfully used to distinguish the severity of COVID-19 lung damage. The AS technique developed provides a suitable basis for an automated system using ML/DL methods and 12 image attributes.

Keyphrases

deep learning
coronavirus disease
computed tomography
sars cov
dual energy
artificial intelligence
contrast enhanced
convolutional neural network
image quality
machine learning
magnetic resonance imaging
oxidative stress
respiratory syndrome coronavirus
case report
magnetic resonance