Moura, Joaquim deRamos, LucíaVidal, PlácidoCruz, Nilfa MilenaAbelairas López, LauraCastro López, EvaNovo Buján, JorgeOrtega Hortas, Marcos2022-01-212022-01-212021de Moura, J.; Ramos, L.; Vidal, P.L.; Cruz, M.; Abelairas, L.; Castro, E.; Novo, J.; Ortega, M. Computational Radiological Screening of Patients with COVID-19 Using Chest X-ray Images from Portable Devices. Eng. Proc. 2021, 7, 1. https://doi.org/10.3390/engproc2021007001http://hdl.handle.net/2183/29462Presented at the 4th XoveTIC Conference, A Coruña, Spain, 7–8 October 2021.[Abstract] This work presents a fully automatic system for the screening of chest X-ray images from portable devices under the analysis of three different clinical categories: normal, pathological cases of pulmonary diseases with findings similar to those of COVID-19, and COVID-19 cases. Our methodology was validated using a dataset retrieved specifically for this study, which was provided by the Radiology Service of the Complexo Hospitalario Universitario A Coruña (CHUAC). Despite the poor quality conditions of chest X-ray images acquired by portable devices, satisfactory results were obtained, demonstrating the robustness and great potential of the proposed system to help front-line clinicians in the diagnosis and treatment of patients with COVID-19.engAtribución 4.0 Internacionalhttp://creativecommons.org/licenses/by/4.0/Computer-aided diagnosisPortable chest X-ray imagingCOVID-19PneumoniaDeep learningconference outputopen access10.3390/engproc2021007001