. 2021 Dec 14;141:105141. doi: 10.1016/j.compbiomed.2021.105141

Table 2.

Summary of related works.

Authors	Main work	Advantage	Weakness
Bhattacharya, Maddikunta [53]	Reviewing the papers associated with DL usage for COVID-19 medical image processing.	•Reviewing the challenges of DL-image processing.	•The article selection process is not clear.
		•Taking into account critical variables.	•There was no talk about future projects.
		•Taking into account critical variables.	•The methods are not compared.
Alsharif, Alsharif [54]	Discussing studies on the various applications of DL in the detection and diagnosis of COVID-19.	•There is a complete introductory guide to the research relating to DL-COVID-19.	•The article selection process is not clear.
Alsharif, Alsharif [54]			•There is no comparison between the articles.
Alafif, Tehame [55]	Investigating ML and DL methods for COVID-19 treatment and diagnosis.	•Challenges and potential guidance are discussed.	•The article selection process is not clear.
Shorten, Khoshgoftaar [56]	Covering DL applications in NLP, computer vision, life sciences, and epidemiology.	•Cover a significant portion of the papers	•The article selection process is not clear.
		•Limitation on the amount of literature provided responsibly.	•There is no comparison between the articles.
			•There has not been any in-depth review of the papers.
Sufian, Ghosh [52]	Examining Covid-19's deep TL methods.	•In the context of COVID-19, brief evaluations and challenges have been given.	•The article selection process is not clear.
Sufian, Ghosh [52]	Examining Covid-19's deep TL methods.	•A precedent pipeline model of DTL over edge computing has been drawn up for a future scope to mitigate any outbreaks.	•There is no comparison between the articles.