COVID-19 Screening in Chest X-Ray Images Using Lung Region Priors

COVID-19 Screening in Chest X-Ray Images Using Lung Region Priors

Early screening of COVID-19 is essential for pandemic control, and thus to relieve stress on the health care system. Lung segmentation from chest X-ray (CXR) is a promising method for early diagnoses of pulmonary diseases. Recently, deep learning has achieved great success in supervised lung segment...

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Bibliographic Details
Main Authors: An, J. (Author), Cai, Q. (Author), Gao, Z. (Author), Qu, Z. (Author)
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers Inc. 2021
Subjects:
Article
Biological organs
chest X-ray image
Chest X-ray image
Classification networks
convolutional neural network
coronavirus disease 2019
COVID-19
Cross-domain
Deep learning
Deep Learning
Diagnosis
diagnostic imaging
Domain adaptation
Early diagnosis
Health-care system
human
Humans
image segmentation
learning
learning algorithm
lung
Lung
lung disease
lung segmentation
Lung segmentation
machine learning
mathematical model
multi-appearance
pneumonia
Prior knowledge
SARS-CoV-2
thorax radiography
training
tuberculosis
Unsupervised domain adaptation
X ray
X-Rays
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