Participants in the COVID-19 Lung CT Lesion Segmentation Grand Challenge will use a multi-institutional, multinational NIH dataset that houses data on patients with a diverse range of age, gender and disease severity to create AI-powered imaging models to help clinicians better identify and treat COVID-19 infection in patients’ lungs.
Participants whose algorithms win the challenge will have the opportunity to partner with hospitals to further study their imaging model’s efficacy in identifying COVID-19 infection in the lungs.
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