COVID-19 CT Image Synthesis with a Conditional Generative Adversarial Network

COVID-19 CT Image Synthesis with a Conditional Generative Adversarial Network

Coronavirus disease 2019 (COVID-19) is an ongoing global pandemic that has spread rapidly since December 2019. Real-time reverse transcription polymerase chain reaction (rRT-PCR) and chest computed tomography (CT) imaging both play an important role in COVID-19 diagnosis. Chest CT imaging offers the...

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Bibliographic Details
Main Authors: Chen, H. (Author), Jiang, Y. (Author), Ko, H. (Author), Loew, M. (Author)
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers Inc. 2021
Subjects:
Adversarial networks
Article
computed topography
computer assisted tomography
computer vision
Computerized tomography
conditional generative adversarial network
coronavirus disease 2019
COVID-19
Data requirements
deep learning
Deep learning
Deep Learning
Diagnosis
diagnostic imaging
Generative Adversarial Network
ground glass opacity
human
Humans
image analysis
image quality
image segmentation
Image segmentation
image synthesis
Imaging applications
Learning systems
lung
Lung
machine learning
Machine learning applications
Magnetic resonance imaging
Medical imaging
medical staff
nuclear magnetic resonance imaging
Personnel training
Polymerase chain reaction
Pulmonary infections
Radiography, Thoracic
real time reverse transcription polymerase chain reaction
Reverse transcription-polymerase chain reaction
SARS-CoV-2
Semantic segmentation
semantics
Semantics
State of the art
thorax radiography
Tomography, X-Ray Computed
topography
training
x-ray computed tomography
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