Convolutional neural network model based on radiological images to support COVID-19 diagnosis: Evaluating database biases

Caio B. S. Maior; João M. M. Santana; Isis D. Lins; Márcio J. C. Moura

doi:10.1371/journal.pone.0247839

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Open Access

Peer-reviewed

Research Article

Convolutional neural network model based on radiological images to support COVID-19 diagnosis: Evaluating database biases

Caio B. S. Maior,

Roles Conceptualization, Investigation, Methodology, Software, Validation, Visualization, Writing – original draft

Affiliations CEERMA - Center for Risk Analysis, Reliability Engineering and Environmental Modeling, Universidade Federal de Pernambuco, Recife, Brazil, Department of Production Engineering, Universidade Federal de Pernambuco, Recife, Brazil
⨯
João M. M. Santana ,

Roles Conceptualization, Investigation, Methodology, Software, Validation, Visualization, Writing – original draft

* E-mail: joaomateus@ceerma.org (JMMS); isis.lins@ceerma.org (IDL)

Affiliations CEERMA - Center for Risk Analysis, Reliability Engineering and Environmental Modeling, Universidade Federal de Pernambuco, Recife, Brazil, Department of Production Engineering, Universidade Federal de Pernambuco, Recife, Brazil

https://orcid.org/0000-0001-7666-4928

⨯
Isis D. Lins ,

Roles Conceptualization, Funding acquisition, Investigation, Project administration, Resources, Supervision, Writing – review & editing

* E-mail: joaomateus@ceerma.org (JMMS); isis.lins@ceerma.org (IDL)

Affiliations CEERMA - Center for Risk Analysis, Reliability Engineering and Environmental Modeling, Universidade Federal de Pernambuco, Recife, Brazil, Department of Production Engineering, Universidade Federal de Pernambuco, Recife, Brazil
⨯
Márcio J. C. Moura

Roles Conceptualization, Funding acquisition, Project administration, Resources, Supervision, Writing – review & editing

Affiliations CEERMA - Center for Risk Analysis, Reliability Engineering and Environmental Modeling, Universidade Federal de Pernambuco, Recife, Brazil, Department of Production Engineering, Universidade Federal de Pernambuco, Recife, Brazil
⨯

Convolutional neural network model based on radiological images to support COVID-19 diagnosis: Evaluating database biases

Caio B. S. Maior,
João M. M. Santana,
Isis D. Lins,
Márcio J. C. Moura

Published: March 1, 2021
https://doi.org/10.1371/journal.pone.0247839

About the Authors

Caio B. S. Maior

Roles Conceptualization, Investigation, Methodology, Software, Validation, Visualization, Writing – original draft

Affiliations CEERMA - Center for Risk Analysis, Reliability Engineering and Environmental Modeling, Universidade Federal de Pernambuco, Recife, Brazil, Department of Production Engineering, Universidade Federal de Pernambuco, Recife, Brazil

João M. M. Santana

Roles Conceptualization, Investigation, Methodology, Software, Validation, Visualization, Writing – original draft

* E-mail: joaomateus@ceerma.org (JMMS); isis.lins@ceerma.org (IDL)

https://orcid.org/0000-0001-7666-4928

Isis D. Lins

Roles Conceptualization, Funding acquisition, Investigation, Project administration, Resources, Supervision, Writing – review & editing

* E-mail: joaomateus@ceerma.org (JMMS); isis.lins@ceerma.org (IDL)

Márcio J. C. Moura

Roles Conceptualization, Funding acquisition, Project administration, Resources, Supervision, Writing – review & editing

Competing Interests

The authors have declared that no competing interests exist.

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COVID 19
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Virus testing
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Radiology and imaging
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Computed axial tomography
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Pneumonia
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Database and informatics methods
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X-ray radiography
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Imaging techniques
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