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Diagnosis of COVID-19 pneumonia from chest X-rays via deep learning

The cover illustrates an automated deep-learning pipeline for the identification and discrimination of viral, non-viral and COVID-19 pneumonia from chest X-rays.
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Go to the profile of Pep Pàmies
Pep Pàmies
Chief Editor, Nature Biomedical Engineering, Nature Research
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A deep-learning pipeline for the diagnosis and discrimination of viral, non-viral and COVID-19 pneumonia from chest X-ray images - Nature Biomedical Engineering

An automated deep-learning pipeline for chest-X-ray-image standardization, lesion visualization and disease diagnosis can identify viral pneumonia caused by COVID-19, assess its severity, and discriminate it from other types of pneumonia.

Image: Guangyu Wang (Beijing University of Posts and Telecommunications) and Kang Zhang (Macau University of Science and Technology). Cover design: Allen Beattie.

Go to the profile of Pep Pàmies
Pep Pàmies
Chief Editor, Nature Biomedical Engineering, Nature Research

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