Deep Learning Models for the Diagnosis and Screening of COVID-19: A Systematic Review

COVID-19, caused by SARS-CoV-2, has been declared as a global pandemic by WHO. Early diagnosis of COVID-19 patients may reduce the impact of coronavirus using modern computational methods like deep learning. Various deep learning models based on CT and chest X-ray images are studied and compared in...

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Detalles Bibliográficos
Autores principales: Siddiqui, Shah, Arifeen, Murshedul, Hopgood, Adrian, Good, Alice, Gegov, Alexander, Hossain, Elias, Rahman, Wahidur, Hossain, Shazzad, Al Jannat, Sabila, Ferdous, Rezowan, Masum, Shamsul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Nature Singapore 2022
Materias:
Review Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9312319/
https://www.ncbi.nlm.nih.gov/pubmed/35911439
http://dx.doi.org/10.1007/s42979-022-01326-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9312319/
https://www.ncbi.nlm.nih.gov/pubmed/35911439
http://dx.doi.org/10.1007/s42979-022-01326-3

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