COVID-19 identification in chest X-ray images on flat and hierarchical classification scenarios

@article{Pereira2020COVID19II,
  title={COVID-19 identification in chest X-ray images on flat and hierarchical classification scenarios},
  author={R. M. Pereira and Diego Bertolini and Lucas O. Teixeira and C. Silla and Yandre M. G. Costa},
  journal={Computer Methods and Programs in Biomedicine},
  year={2020},
  volume={194},
  pages={105532 - 105532}
}
  • R. M. Pereira, Diego Bertolini, +2 authors Yandre M. G. Costa
  • Published 2020
  • Computer Science, Mathematics, Medicine
  • Computer Methods and Programs in Biomedicine
  • Abstract Background and Objective:The COVID-19 can cause severe pneumonia and is estimated to have a high impact on the healthcare system. Early diagnosis is crucial for correct treatment in order to possibly reduce the stress in the healthcare system. The standard image diagnosis tests for pneumonia are chest X-ray (CXR) and computed tomography (CT) scan. Although CT scan is the gold standard, CXR are still useful because it is cheaper, faster and more widespread. This study aims to… CONTINUE READING
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