Radiographic and CT Features of Viral Pneumonia.

By H. Koo, Soyeoun Lim, J. Choe, S. Choi, H. Sung, K. Do. Radiographics, 2018

662 citations recorded by the source corpus.

Subfields: Critical Care and Intensive Care Medicine, Epidemiology, Infectious Diseases

View Paper: https://www.semanticscholar.org/paper/e5e815a08d8e7af1421db8480aa679fed75abb5d

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Infectious Diseases

1. Santi Kumari Behera
2. Hongzhou Lu
3. Dr. Prabira Kumar Sethy

Citations in the corpus

• Application of deep learning technique to manage COVID-19 in routine clinical practice using CT images: Results of 10 convolutional neural networks (2020, neutral): “For example, GGO is a common finding among other atypical and viral pneumonia diseases such as influenza, severe acute respiratory syndrome (SARS), and Middle East respiratory syndrome (MERS) [5,7].”
• Detection of Coronavirus Disease (COVID-19) Based on Deep Features (2020, methodology): “The deep learning is one of the recent techniques applicable in the field of medicine for diagnosis purpose [16-28].”
• Time Course of Lung Changes On Chest CT During Recovery From 2019 Novel Coronavirus (COVID-19) Pneumonia (2020, positive): “the Fleischner Society glossary and peer-reviewed literature on viral pneumonia, using terms including ground glass opacity (GGO), crazy-paving pattern, and consolidation (12-14).”
• CovXNet: A multi-dilation convolutional neural network for automatic COVID-19 and other pneumonia detection from chest X-ray images with transferable multi-receptive feature optimization (2020, positive): “These localized features are also commonly approved radiological features of traditional viral pneumonia [4,12,14,30].”
• Emerging 2019 Novel Coronavirus (2019-nCoV) Pneumonia (2020, background): “Studies showed that influenza pneumonia tend to affect lower lung (15).”
• Chest CT Severity Score: An Imaging Tool for Assessing Severe COVID-19 (2020, background): “Some imaging findings of COVID-19 overlap with those of other RNA viral infection, such as respiratory syncytial virus and human parainfluenza virus (9,23).”
• Deep learning based detection and analysis of COVID-19 on chest X-ray images (2020, background): “Meanwhile, many more predictions came into a picture such as plasma therapy, X-ray images [6, 7], and many more, but the exact solution of this deathly disease is not found.”
• CT Imaging Features of 2019 Novel Coronavirus (2019-nCoV) (2020, background): “Viruses in the same viral family share a similar pathogenesis; therefore, CT may help identify distinguishing patterns and features in immunocompetent patients (8).”