On Data Bias and the Usability of Deep Learning Algorithms in Classifying COVID-19 based on Chest X-ray
2021 IEEE 3rd International Multidisciplinary Conference on Engineering Technology (IMCET)(2021)
摘要
SARS-COV-2 is a new strain of virus that was first detected in China. It quickly spread across the world affecting millions of people. For this reason, early detection of the virus is mandatory in order to limit the spread of the virus. Real-time reverse transcription polymerase chain reaction (RT-PCR) and the antibody test are the main tests used to detect the virus. Chest X-rays (CXRs) and compu...
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关键词
COVID-19,Deep learning,Training,Computed tomography,X-rays,Data models,Coronaviruses
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