Dynamic-Fusion-Based Federated Learning for COVID-19 Detection

IEEE Internet Things J.(2021)

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摘要
Medical diagnostic image analysis (e.g., CT scan or X-Ray) using machine learning is an efficient and accurate way to detect COVID-19 infections. However, the sharing of diagnostic images across medical institutions is usually prohibited due to patients’ privacy concerns. This causes the issue of insufficient data sets for training the image classification model. Federated learning is an emerging ...
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关键词
Data models,COVID-19,Training,Collaborative work,Analytical models,Servers,Predictive models
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