Explainable Deep Learning for Pulmonary Disease and Coronavirus COVID-19 Detection from X-rays.

Journal: Computer methods and programs in biomedicine
Published Date: Jun 20, 2020

Abstract

BACKGROUND AND OBJECTIVE: Coronavirus disease (COVID-19) is an infectious disease caused by a new virus never identified before in humans. This virus causes respiratory disease (for instance, flu) with symptoms such as cough, fever and, in severe cases, pneumonia. The test to detect the presence of this virus in humans is performed on sputum or blood samples and the outcome is generally available within a few hours or, at most, days. Analysing biomedical imaging the patient shows signs of pneumonia. In this paper, with the aim of providing a fully automatic and faster diagnosis, we propose the adoption of deep learning for COVID-19 detection from X-rays.

Authors

  • Luca Brunese
    Department of Medicine and Health Sciences "Vincenzo Tiberio", University of Molise, Campobasso, Italy.
  • Francesco Mercaldo
    Institute for Informatics and Telematics, National Research Council of Italy (CNR), Pisa, Italy; Department of Biosciences and Territory, University of Molise, Pesche (IS), Italy. Electronic address: francesco.mercaldo@iit.cnr.it.
  • Alfonso Reginelli
    Department of Precision Medicine, University of Campania "Luigi Vanvitelli", Napoli, Italy.
  • Antonella Santone
    Department of Biosciences and Territory, University of Molise, Pesche (IS), Italy.

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