Reviewing methods of deep learning for diagnosing COVID-19, its variants and synergistic medicine combinations

The COVID-19 pandemic has necessitated the development of reliable diagnostic methods for accurately detecting the novel coronavirus and its variants. Deep learning (DL) techniques have shown promising potential as screening tools for COVID-19 detection. In this study, we explore the realistic devel...

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Detalles Bibliográficos
Autores principales: Rafique, Qandeel, Rehman, Ali, Afghan, Muhammad Sher, Ahmad, Hafiz Muhamad, Zafar, Imran, Fayyaz, Kompal, Ain, Quratul, Rayan, Rehab A., Al-Aidarous, Khadija Mohammed, Rashid, Summya, Mushtaq, Gohar, Sharma, Rohit
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10281043/
https://www.ncbi.nlm.nih.gov/pubmed/37354819
http://dx.doi.org/10.1016/j.compbiomed.2023.107191

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10281043/
https://www.ncbi.nlm.nih.gov/pubmed/37354819
http://dx.doi.org/10.1016/j.compbiomed.2023.107191

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