COVID-Net: a tailored deep convolutional neural network design for detection of COVID-19 cases from chest X-ray images

@article{Wang2020COVIDNetAT,
  title={COVID-Net: a tailored deep convolutional neural network design for detection of COVID-19 cases from chest X-ray images},
  author={Linda Wang and Zhong Qiu Lin and Alexander Wong},
  journal={Scientific Reports},
  year={2020},
  volume={10}
}
The Coronavirus Disease 2019 (COVID-19) pandemic continues to have a devastating effect on the health and well-being of the global population. A critical step in the fight against COVID-19 is effective screening of infected patients, with one of the key screening approaches being radiology examination using chest radiography. It was found in early studies that patients present abnormalities in chest radiography images that are characteristic of those infected with COVID-19. Motivated by this… 
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Classification of COVID-19 from Chest X-ray images using Deep Convolutional Neural Networks
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This study aimed to automatically detect COVID‐19 pneumonia patients using digital chest x‐ray images while maximizing the accuracy in detection using deep convolutional neural networks (DCNN).
Identification of COVID-19 samples from chest X-Ray images using deep learning: A comparison of transfer learning approaches
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TLDR
COVID-Net is introduced, a deep convolutional neural network design tailored for the detection of COVID-19 cases from chest radiography images that is open source and available to the general public and investigated how it makes predictions using an explainability method.
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Results based on a dataset of X-ray images show that COVID-CAPS has advantage over previous CNN-based models, being capable of handling small datasets, which is of significant importance due to sudden and rapid emergence of CO VID-19.
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Using Artificial Intelligence to Detect COVID-19 and Community-acquired Pneumonia Based on Pulmonary CT: Evaluation of the Diagnostic Accuracy
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TLDR
A deep learning model was developed to extract visual features from volumetric chest CT scans for the detection of coronavirus 2019 and differentiate it from community-acquired pneumonia and other lung conditions.
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