Machine learning for coronavirus covid-19 detection from chest x-rays
Luca Brunese, Fabio Martinelli, Francesco Mercaldo, Antonella Santone
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.
Topics & Concepts
Coronavirus disease 2019 (COVID-19)Computer scienceExploitArtificial intelligenceCoronavirusSet (abstract data type)Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)2019-20 coronavirus outbreakData setMachine learningDiseaseVirologyInfectious disease (medical specialty)MedicineComputer securityPathologyOutbreakProgramming languageCOVID-19 diagnosis using AIAI in cancer detectionRadiomics and Machine Learning in Medical Imaging