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COVID-Net MLSys: Designing COVID-Net for the Clinical Workflow
[article]
2021
arXiv
pre-print
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 and systems (MLSys) perspective to design a system for COVID-19 patient screening with the
arXiv:2109.06421v1
fatcat:nbertmthgva2pjq7fcqjz7f6jq