Deep Learning in Classification of Covid-19 Coronavirus, Pneumonia and Healthy Lungs on CXR and CT Images.

Published in: Journal of medical and biological engineering (2021)

The results suggest that the implemented model is improved considering other existing models because the obtained classification accuracy is over the recently obtained results. It is a belief that the new architecture that is implemented in this study, delivers a petite step in building refined Coronavirus 2019 diagnosis architecture using CXR and CT bio-images.

Keyphrases

deep learning
sars cov
convolutional neural network
artificial intelligence
image quality
dual energy
computed tomography
machine learning
contrast enhanced
respiratory syndrome coronavirus
coronavirus disease
magnetic resonance
mechanical ventilation