Federated deep learning for detecting COVID-19 lung abnormalities in CT: a privacy-preserving multinational validation study
Data privacy mechanisms are essential for rapidly scaling medical training databases to capture the heterogeneity of patient data distributions toward robust and generalizable machine learning systems. In the current COVID-19 pandemic, a major focus of artificial intelligence (AI) is interpreting chest CT, which can be readily used in the assessment and management of the disease. This paper demonstrates the feasibility of a federated learning method for detecting COVID-19 related CT abnormalitie
OpenAlex
1950d ago
PrivacyHealthcare