Lightweight deep learning models for detecting COVID-19 from chest X-ray images

Karakanis, StefanosLeontidis, Georgios2021-01-062021-01-062021-03-01Karakanis, S & Leontidis, G 2021, 'Lightweight deep learning models for detecting COVID-19 from chest X-ray images', Computers in Biology and Medicine, vol. 130, 104181. https://doi.org/10.1016/j.compbiomed.2020.1041810010-4825ORCID: /0000-0001-6671-5568/work/86450175https://hdl.handle.net/2164/15586Funding Information: The authors would like to thank the multiple teams that have contributed to the release of the datasets used in this paper. We would also like to thank the Data Lab, which provided an MSc AI scholarship to the first author, making this project possible.931393193134710engGenerative adversarial networksDeep neural networkcovid-19medical informaticsCOVID-19Deep neural networksBacterial pneumoniaChest x-raysMedical informaticsModels, TheoreticalLung/diagnostic imagingHumansMaleTomography, X-Ray ComputedDeep LearningSARS-CoV-2COVID-19/diagnostic imagingFemaleQA75 Electronic computers. Computer scienceHealth InformaticsComputer Science ApplicationsQA75Lightweight deep learning models for detecting COVID-19 from chest X-ray imagesJournal article10.1016/j.compbiomed.2020.104181http://www.scopus.com/inward/record.url?scp=85098078043&partnerID=8YFLogxK130