Volume 5 Issue 6, June 2021
Diagnosis of COVID-19 pneumonia from chest X-rays via deep learning
This issue highlights the development and application of machine-learning models for a wide range of biomedical and clinical problems, in particular the measurement of retinal-vessel calibre in retinal photographs, the diagnosis of COVID-19 pneumonia from chest X-rays, the prediction of breast cancer risk from ultrasound images, the detection of chronic kidney disease and type-2 diabetes from retinal images, the prediction of one-year all-cause mortality from echocardiography videos, the optimization of therapeutic antibodies, and the acceleration of antimicrobial discovery.
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.
See Wang et al.
Image: Guangyu Wang (Beijing University of Posts and Telecommunications) and Kang Zhang (Macau University of Science and Technology). Cover Design: Allen Beattie.
Editorial
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