Does imbalance in chest X-ray datasets produce biased deep learning approaches for COVID-19 screening?

Journal: BMC medical research methodology
Published Date:

Abstract

BACKGROUND: The health crisis resulting from the global COVID-19 pandemic highlighted more than ever the need for rapid, reliable and safe methods of diagnosis and monitoring of respiratory diseases. To study pulmonary involvement in detail, one of the most common resources is the use of different lung imaging modalities (like chest radiography) to explore the possible affected areas.

Authors

  • Lorena Álvarez-Rodríguez
    Centro de Investigación CITIC, Universidade da Coruña, Campus de Elviña, A Coruña, 15071, Spain.
  • Joaquim de Moura
    Centro de Investigación CITIC, Universidade da Coruña, Campus de Elviña, A Coruña, 15071, Spain. joaquim.demoura@udc.es.
  • Jorge Novo
    Centro de Investigación CITIC, Universidade da Coruña, Campus de Elviña, A Coruña, 15071, Spain.
  • Marcos Ortega
    Centro de Investigación CITIC, Universidade da Coruña, Campus de Elviña, A Coruña, 15071, Spain.