Automatic Diagnosis of COVID-19 Using a tailored Transformer-Like Network
نویسندگان
چکیده
Abstract The emergence of the novel coronavirus(COVID-19) has left disastrous effect on global health and individuals. Even though in most areas, RT-PCR test used as dominant approach for diagnosis COVID-19 shown good accuracy, requires equipment, personnel it is time-consuming. Researches have effectiveness X-ray images predicting COVID-19. In this study, we applied a transformer-like deep-learning model problem with transfer learning technique, to diagnose or normal. outperformed CNN SOTA. achieved classification accuracy 99.7% targeting dataset.
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ژورنال
عنوان ژورنال: Journal of physics
سال: 2021
ISSN: ['0022-3700', '1747-3721', '0368-3508', '1747-3713']
DOI: https://doi.org/10.1088/1742-6596/2010/1/012175