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. 2020 Oct 2;176:2212–2221. doi: 10.1016/j.procs.2020.09.258

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

Luca Brunese a, Fabio Martinelli b, Francesco Mercaldo a,b, Antonella Santone c
PMCID: PMC7531990  PMID: 33042308

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: Coronavirus, COVID-19, machine learning, artificial intelligence, medical images, x-ray

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