2020
DOI: 10.21203/rs.3.rs-40907/v1
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The feasibility of transfer learning for differentiation H1N1 Influenza from COVID-19 on chest CT

Abstract: Objectives: It is unlikely that by fall and winter of 2020, standard vaccine or treatment is available for COVID-19 infection. In this period, differentiation between COVID-19 and Influenza induced pneumonia will be critical for patient management. To develop an automated platform to perform this task, artificial intelligence models were developed by using the transfer learning techniques on chest CT.Methods: Chest CT images from known cases of COVID-19, H1N1 Influenza induced pneumonia (before December 2019),… Show more

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