Use this link to cite:
https://hdl.handle.net/2183/49131 Multi-Disease Explainable Deep Learning System for Automated Chest X-ray Screening
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E. 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.
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[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.
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Presentado en: EUROCAST 2026, 20th International Conference on Computer Aided Systems Theory Las Palmas de Gran Canaria, Spain, February 23- 27, 2026
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© 2026 IUCES Universidad de Las Palmas de Gran Canaria