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Computational Radiological Screening of Patients with COVID-19 Using Chest X-ray Images from Portable Devices
dc.contributor.author | Moura, Joaquim de | |
dc.contributor.author | Ramos, Lucía | |
dc.contributor.author | Vidal, Plácido | |
dc.contributor.author | Cruz, Nilfa Milena | |
dc.contributor.author | Abelairas López, Laura | |
dc.contributor.author | Castro López, Eva | |
dc.contributor.author | Novo Buján, Jorge | |
dc.contributor.author | Ortega Hortas, Marcos | |
dc.date.accessioned | 2022-01-21T19:37:50Z | |
dc.date.available | 2022-01-21T19:37:50Z | |
dc.date.issued | 2021 | |
dc.identifier.citation | de 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/engproc2021007001 | es_ES |
dc.identifier.uri | http://hdl.handle.net/2183/29462 | |
dc.description | Presented at the 4th XoveTIC Conference, A Coruña, Spain, 7–8 October 2021. | es_ES |
dc.description.abstract | [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. | es_ES |
dc.description.sponsorship | This research was funded by Instituto de Salud Carlos III, Government of Spain, DTS18/00136 research project; Ministerio de Ciencia e Innovación y Universidades, Government of Spain, RTI2018-095894-B-I00 research project, as well as through Ayudas para la formación de profesorado universitario (FPU), Ref. FPU18/02271; Ministerio de Ciencia e Innovación, Government of Spain through the research project with reference PID2019-108435RB-I00; Consellería de Cultura, Educación e Universidade, Xunta de Galicia through the postdoctoral grant contract ref. ED481B 2021/059; and Grupos de Referencia Competitiva, grant ref. ED431C 2020/24; Axencia Galega de Innovación (GAIN), Xunta de Galicia, grant ref. IN845D 2020/38; CITIC, Centro de Investigación de Galicia ref. ED431G 2019/01, received financial support from Consellería de Educación, Universidade e Formación Profesional, Xunta de Galicia, through the ERDF (80%) and Secretaría Xeral de Universidades (20%). | es_ES |
dc.description.sponsorship | Xunta de Galicia; ED481B 2021/059 | es_ES |
dc.description.sponsorship | Xunta de Galicia; ED431C 2020/24 | es_ES |
dc.description.sponsorship | Xunta de Galicia; IN845D 2020/38 | es_ES |
dc.description.sponsorship | Xunta de Galicia; ED431G 2019/01 | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | MDPI | es_ES |
dc.relation.uri | https://doi.org/10.3390/engproc2021007001 | es_ES |
dc.rights | Atribución 4.0 Internacional | es_ES |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | * |
dc.subject | Computer-aided diagnosis | es_ES |
dc.subject | Portable chest X-ray imaging | es_ES |
dc.subject | COVID-19 | es_ES |
dc.subject | Pneumonia | es_ES |
dc.subject | Deep learning | es_ES |
dc.title | Computational Radiological Screening of Patients with COVID-19 Using Chest X-ray Images from Portable Devices | es_ES |
dc.type | info:eu-repo/semantics/conferenceObject | es_ES |
dc.rights.access | info:eu-repo/semantics/openAccess | es_ES |
UDC.journalTitle | Engineering Proceedings | es_ES |
UDC.volume | 7 | es_ES |
UDC.issue | 1 | es_ES |
UDC.startPage | 1 | es_ES |
dc.identifier.doi | 10.3390/engproc2021007001 |