Book Chapter 2022

A Comparative Study of Deep Learning Models for COVID-19 Diagnosis Based on X-Ray Images

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

Smart and Sustainable Technology for Resilient Cities and Communities, pp. 163–174

Open DOI
Type
Book Chapter
Year
2022
Venue
Smart and Sustainable Technology for Resilient Cities and Communities
Pages
163–174
Publisher
Springer, Singapore

Overview

Book Chapter published in Smart and Sustainable Technology for Resilient Cities and Communities (2022) · 9 authors

Research areas

Matched from the title, keywords and assigned research area.

Abstract

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Authors

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

Keywords

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Citation

IEEE

S. Siddiqui et al., "A Comparative Study of Deep Learning Models for COVID-19 Diagnosis Based on X-Ray Images," in Smart and Sustainable Technology for Resilient Cities and Communities, 2022, pp. 163–174, doi: 10.1007/978-981-16-9101-0_12.

BibTeX

@incollection{siddiqui2022comparative,
  title={A Comparative Study of Deep Learning Models for COVID-19 Diagnosis Based on X-Ray Images},
  author={Siddiqui, Shah and Hossain, Elias and Ferdous, Rezowan and Arifeen, Murshedul and Rahman, Wahidur and Masum, Shamsul and Hopgood, Adrian and Good, Alice and Gegov, Alexander},
  booktitle={Smart and Sustainable Technology for Resilient Cities and Communities},
  pages={163--174},
  year={2022},
  publisher={Springer, Singapore},
  doi={10.1007/978-981-16-9101-0_12}
}