Automated detection and forecasting of COVID-19 using deep learning techniques: A review

  1. Shoeibi, A.
  2. Khodatars, M.
  3. Jafari, M.
  4. Ghassemi, N.
  5. Sadeghi, D.
  6. Moridian, P.
  7. Khadem, A.
  8. Alizadehsani, R.
  9. Hussain, S.
  10. Zare, A.
  11. Sani, Z.A.
  12. Khozeimeh, F.
  13. Nahavandi, S.
  14. Acharya, U.R.
  15. Gorriz, J.M.
Revue:
Neurocomputing

ISSN: 1872-8286 0925-2312

Année de publication: 2024

Volumen: 577

Type: Brève étude

DOI: 10.1016/J.NEUCOM.2024.127317 GOOGLE SCHOLAR