COVID-19 detection from Xray and CT scans using transfer learning
Berrimi, Mohamed; Hamdi, Skander; Yahia Cherif, Raoudha; Moussaoui, Abdelouahab; Oussalah, Mourad; Chabane, Mafaza (2021-05-25)
M. Berrimi, S. Hamdi, R. Y. Cherif, A. Moussaoui, M. Oussalah and M. Chabane, "COVID-19 detection from Xray and CT scans using transfer learning," 2021 International Conference of Women in Data Science at Taif University (WiDSTaif ), 2021, pp. 1-6, doi: 10.1109/WiDSTaif52235.2021.9430229
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Since the novel coronavirus SARS-CoV-2 outbreak, intensive research has been conducted to find suitable tools for diagnosis and identifying infected people in order to take appropriate action. Chest imaging plays a significant role in this phase where CT and Xrays scans have proven to be effective in detecting COVID-19 within the lungs. In this research, we propose deep learning models using Transfer learning to detect COVID-19. Both X-ray and CT scans were considered to evaluate the proposed methods.
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