COVID-Net MLSys: Designing COVID-Net for the Clinical Workflow

2021 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE)(2021)

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摘要
As the COVID-19 pandemic continues to devastate globally, one promising field of research is machine learning-driven computer vision to streamline various parts of the COVID-19 clinical workflow. These machine learning methods are typically stand-alone models designed without consideration for the integration necessary for real-world application workflows. In this study, we take a machine learning...
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关键词
COVID-19,Deep learning,Ultrasonic imaging,Pandemics,Computational modeling,Lung,User interfaces
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