• Ms. Vidyasri. S
• Dr. S. Saravanan

Due to the emergence of COVID-19 and the virus responsible for it, SARS-CoV-2, healthcare providers have had to create new technology and treatment options for patients. Deep Learning (DL) technology has been extensively used due to the COVID-19 outbreak, with many chambers seeking to espouse and personalize DL solutions to address pandemic-related issues. We reviewed studies on how deep learning is being used to combat COVID-19, with a focus on disease development, prognosis, intensity estimation, therapy and hospitalization assessment, innovative classification, and segmentation techniques. A systematic search was conducted on online research databases such as Google Scholar, PubMed, and Web of Science for relevant publication issues in the middle of 2020 and 2022. The search followed the regulations of the "Preferred Reporting Items for Systematic Reviews and Meta-Analysis". The term "deep learning" was combined with COVID-19-specific keywords to build the search syntax.

Deep learning, Chest X-rays, Pretrained models, Feature extraction, Classification, Segmentation.

"An Effective Review of Deep Learning-based Disease Classification and Segmentation Methods Used for COVID-19 Detection", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 2, page no.f363-f368, February-2023, Available :http://www.jetir.org/papers/JETIR2302543.pdf

"An Effective Review of Deep Learning-based Disease Classification and Segmentation Methods Used for COVID-19 Detection", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 2, page no. ppf363-f368, February-2023, Available at : http://www.jetir.org/papers/JETIR2302543.pdf