Machine learning for coronavirus covid-19 detection from chest x-rays

Luca Brunese; Fabio Martinelli; Francesco Mercaldo; Antonella Santone

doi:10.1016/j.procs.2020.09.258

Machine learning for coronavirus covid-19 detection from chest x-rays

Procedia Comput Sci. 2020:176:2212-2221. doi: 10.1016/j.procs.2020.09.258. Epub 2020 Oct 2.

Authors

Luca Brunese¹, Fabio Martinelli², Francesco Mercaldo^{1

2}, Antonella Santone³

Affiliations

¹ Department of Medicine and Health Sciences "Vincenzo Tiberio", University of Molise, Campobasso, Italy.
² Institute for Informatics and Telematics, National Research Council of Italy (CNR), Pisa, Italy.
³ Department of Biosciences and Territory, University of Molise, Pesche (IS), Italy.

Abstract

At the end of 2019, a new form of Coronavirus, called COVID-19, has widely spread in the world. To quickly screen patients with the aim to detect this new form of pulmonary disease, in this paper we propose a method aimed to automatically detect the COVID-19 disease by analysing medical images. We exploit supervised machine learning techniques building a model considering a data-set freely available for research purposes of 85 chest X-rays. The experiment shows the effectiveness of the proposed method in the discrimination between the COVID-19 disease and other pulmonary diseases.

Keywords: COVID-19; Coronavirus; artificial intelligence; machine learning; medical images; x-ray.