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Link to original content: https://doi.org/10.1007/s42979-023-02043-1
COVID-19 Diagnosis Through Deep Learning Techniques and Chest X-Ray Images | SN Computer Science Skip to main content

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COVID-19 Diagnosis Through Deep Learning Techniques and Chest X-Ray Images

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Abstract

The new coronavirus pandemic has brought disruption to the world. The lack of mass testing for the population is among the significant dilemmas to be solved by countries, especially underdeveloped ones. An alternative to deal with the lack of tests is detecting the disease by analyzing radiographic images. To process different types of images automatically, we employed deep learning algorithms to achieve success in recognizing different diagnostics. This work aims to train a deep learning model capable of automatically recognizing the COVID-19 diagnosis through radiographic images. Comparing images of coronavirus, healthy lung, and bacterial and viral pneumonia, we obtained a result with 93% accuracy.

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Notes

  1. https://www.who.int/news-room/detail/27-04-2020-who-timeline---covid-19.

  2. https://www.cdc.gov/coronavirus/2019-ncov/faq.html.

  3. https://www.worldometers.info/coronavirus/.

  4. https://www.worldometers.info/coronavirus/#countries.

  5. https://www.cdc.gov/coronavirus/2019-nCoV/index.html.

  6. https://www.who.int/emergencies/diseases/novel-coronavirus-2019/advice-for-public.

  7. https://www.elprocus.com/artificial-neural-networks-ann-and-their-types/.

  8. https://www.kaggle.com/pytorch/resnet34.

  9. http://image-net.org/.

  10. https://www.sirm.org/.

  11. https://research.google.com/colaboratory.

  12. https://github.com/ieee8023/covid-chestxray-dataset.

  13. https://data.mendeley.com/datasets/2fxz4px6d8/4.

  14. https://www.kaggle.com/paultimothymooney/chest-xray-pneumonia.

  15. https://www.sirm.org/en/category/articles/covid-19-database/.

  16. https://docs.fast.ai/.

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Authors and Affiliations

  1. Federal Institute of Paraíba, Picuí, Paraíba, Brazil

    Ramoni Reus Barros Negreiros, Isabel Heloíse Santos Silva & André Luiz Firmino Alves

  2. VIRTUS RDI Center, Campina Grande, Paraíba, Brazil

    Dalton Cézane Gomes Valadares & Angelo Perkusich

  3. Federal Institute of Pernambuco, Caruaru, Pernambuco, Brazil

    Dalton Cézane Gomes Valadares

  4. Federal University of Campina Grande, Campina Grande, Paraíba, Brazil

    Ramoni Reus Barros Negreiros, André Luiz Firmino Alves, Dalton Cézane Gomes Valadares, Angelo Perkusich & Cláudio de Souza Baptista

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  1. Ramoni Reus Barros Negreiros
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Correspondence to André Luiz Firmino Alves.

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Negreiros, R.R.B., Silva, I.H.S., Alves, A.L.F. et al. COVID-19 Diagnosis Through Deep Learning Techniques and Chest X-Ray Images. SN COMPUT. SCI. 4, 613 (2023). https://doi.org/10.1007/s42979-023-02043-1

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