Md. Wahidur Rahman Texas A&M University–Kingsville
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Journal Article 2022

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

Murshedul Arifeen Shah Siddiqui, Adrian Hopgood, Alice Good, Alexander Gegov, Elias Hossain, Wahidur Rahman, Shazzad Hossain, Sabila Al Jannat, Rezowan Ferdous, Shamsul Masum

SN Computer Science, vol. 3, no. 5, Art. no. 397

Open DOI
Type
Journal Article
Year
2022
Venue
SN Computer Science
Volume
3
Issue
5
Article no.
397
Publisher
Springer
DOI
10.1007/s42979-022-01326-3

Overview

Journal Article published in SN Computer Science (2022) · 10 authors

Research areas

Matched from the title, keywords and assigned research area.

Abstract

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Authors

  1. Murshedul Arifeen Shah Siddiqui
  2. Adrian Hopgood
  3. Alice Good
  4. Alexander Gegov
  5. Elias Hossain
  6. Wahidur Rahman Portfolio Author
  7. Shazzad Hossain
  8. Sabila Al Jannat
  9. Rezowan Ferdous
  10. Shamsul Masum

Keywords

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Citation

IEEE

M. A. Shah Siddiqui et al., "Deep Learning Models for the Diagnosis and Screening of COVID-19: A Systematic Review," SN Computer Science, vol. 3, no. 5, Art. no. 397, 2022, doi: 10.1007/s42979-022-01326-3.

BibTeX

@article{article5,
  author    = {Shah Siddiqui, Murshedul Arifeen and Hopgood, Adrian and Good, Alice and Gegov, Alexander and Hossain, Elias and Rahman, Wahidur and Hossain, Shazzad and Al Jannat, Sabila and Ferdous, Rezowan and Masum, Shamsul},
  title     = {Deep Learning Models for the Diagnosis and Screening of COVID-19: A Systematic Review},
  journal   = {SN Computer Science},
  volume    = {3},
  number    = {5},
  pages     = {397},
  year      = {2022},
  publisher = {Springer},
  doi       = {10.1007/s42979-022-01326-3}
}