Deep learning and medical image analysis for COVID-19 diagnosis and prediction

T Liu, E Siegel, D Shen - Annual review of biomedical …, 2022 - annualreviews.org
The coronavirus disease 2019 (COVID-19) pandemic has imposed dramatic challenges to
health-care organizations worldwide. To combat the global crisis, the use of thoracic
imaging has played a major role in the diagnosis, prediction, and management of COVID-19
patients with moderate to severe symptoms or with evidence of worsening respiratory status.
In response, the medical image analysis community acted quickly to develop and
disseminate deep learning models and tools to meet the urgent need of managing and …
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