Abstract
Medical diagnosis assisted by intelligent systems is an effective strategy to increase the efficiency of healthcare systems while reducing their costs. This work is focused on detecting pulmonary conditions from X-ray images using the DeepHealth framework. Our results suggest that it is possible to discriminate pulmonary conditions compatible with the COVID-19 disease from other conditions and healthy individuals. Hence, it could be stated that the DeepHealth framework is a suitable deep-learning software with which to perform reliable medical research. However, more medical data and research are still necessary to train deep learning models that could be trusted by medical personnel.
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Carrión, S., López-Chilet, Á., Martínez-Bernia, J., Coll-Alonso, J., Chorro-Juan, D., & Gómez, J. A. (2022). Detection of Pulmonary Conditions Using the DeepHealth Framework. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 13373 LNCS, pp. 557–566). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-13321-3_49
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