Multi-Disease Explainable Deep Learning System for Automated Chest X-ray Screening

UDC.coleccionInvestigación
UDC.conferenceTitleEUROCAST 2026
UDC.departamentoCiencias da Computación e Tecnoloxías da Información
UDC.endPage232
UDC.grupoInvGrupo de Visión Artificial e Recoñecemento de Patróns (VARPA)
UDC.institutoCentroINIBIC - Instituto de Investigacións Biomédicas de A Coruña
UDC.startPage231
dc.contributor.authorGoyanes, Elena
dc.contributor.authorFernández Moreira, Breogán
dc.contributor.authorMoura, Joaquim de
dc.contributor.authorNovo Buján, Jorge
dc.contributor.authorOrtega Hortas, Marcos
dc.date.accessioned2026-09-02T08:44:17Z
dc.date.available2026-09-02T08:44:17Z
dc.date.issued2026-02
dc.descriptionPresentado en: EUROCAST 2026, 20th International Conference on Computer Aided Systems Theory Las Palmas de Gran Canaria, Spain, February 23- 27, 2026
dc.description.abstract[Abstract]: This paper presents an explainable deep learning system for the simultaneous screening of multiple pulmonary diseases in chest Xrays. Ten state-of-the-art convolutional and transformer-based architectures were evaluated to identify the most effective model for multi-label classification, with the best-performing model achieving an average AUC of 0.841. The interpretability of the system was enhanced using Grad-CAM, providing visual explanations consistent with clinical findings.
dc.description.sponsorshipThis work was supported by Government of Spain through the research projects with [grant number PID2023-148913OB-I00] and [grant number PID2024-161024OB-I00], funded by MICIU/AEI/10.13039/501100011033 and by ERDF, EU; Consellería de Educación, Universidade e Formación Profesional, Xunta de Galicia, Grupos de Referencia Competitiva, [grant number ED431C 2024/33], predoctoral grant [grant number ED481A-2023-152]. Also supported by the ISCIII under the grant [FORT23/00010] as part of the Programa FORTALECE of MICIU.
dc.description.sponsorshipXunta de Galicia; ED431C 2024/33
dc.description.sponsorshipXunta de Galicia; ED481A-2023-152
dc.identifier.citationE. Goyanes, B. Fernández-Moreira, J. de Moura, J. Novo, and M. Ortega, "Multi-Disease Explainable Deep Learning System for Automated Chest X-ray Screening", in Proc. 20th Int. Conf. on Computer Aided Systems Theory (EUROCAST 2026), Extended Abstracts, A. Espino-Sánchez, G. S. de Blasio, C. R. García, J. C. Rodríguez, M. Quesada-Ojeda, and A. Quesada-Arencibia, Eds., Las Palmas de Gran Canaria, Spain, 2026.
dc.identifier.isbn978-84-09-81744-3
dc.identifier.urihttps://hdl.handle.net/2183/49131
dc.language.isoeng
dc.publisherUniversidad de Las Palmas de Gran Canaria
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica, Técnica y de Innovación 2021-2023/PID2023-148913OB-I00/ES/IA CONFIABLE Y EXPLICABLE PARA EL DIAGNOSTICO POR IMAGEN MEDICA ASISTIDO POR ORDENADOR: NUEVOS AVANCES Y APLICACIONES
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica, Técnica y de Innovación 2024-2027/PID2024-161024OB-I00/ES/APRENDIZAJE PROFUNDO DE SINTESIS DE IMAGENES Y ALINEAMIENTO MULTIVISTA PARA APROVECHAR DATOS NO ETIQUETADOS. APLICACIONES EN ANALISIS DE IMAGEN MEDICA/
dc.relation.projectIDinfo:eu-repo/grantAgreement/ISCIII/Plan Estatal de Investigación Científica, Técnica y de Innovación 2021-2023/FORT23%2F00010/ES/
dc.relation.urihttps://eurocast2026.fulp.es/documents/Extended_Abstract_Book.pdf
dc.rights© 2026 IUCES Universidad de Las Palmas de Gran Canaria
dc.rights.accessRightsembargoed access
dc.subjectChest X-ray
dc.subjectDeep Learning
dc.subjectExplainable AI
dc.subjectMedical Image Processing
dc.subjectPulmonary Pathologies
dc.titleMulti-Disease Explainable Deep Learning System for Automated Chest X-ray Screening
dc.typeconference output
dspace.entity.typePublication
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