Publishing in the Springer open access journal!!!

COVID-19, caused by SARS-CoV-2, has been declared 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 this study as an alternative solution to reverse transcription-polymerase chain reactions.

Then, we implemented quality assessment rules, where over 75 scored articles in the literature were included. Finally, in the analysis/reporting stage, all the papers are reviewed and analysed. After the quality assessment of the individual papers, this study adopted 57 articles for the systematic literature review.

To read the full paper please visit the Springer Publication at: https://springer.com/article

Thanks to all the co-authors: Adrian Hopgood, Alice Good, Alexander Gegov, Elias Hossain, Md. Wahidur Rahman, Rezowan Ferdous, Murshedul Arifeen, Md.Shazzad Hossain, Sabila Al Jannat and Dr Shamsul Masum at the University of Portsmouth and Time research & innovation.

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