Iglesias Morís, DanielGende, M.Moura, Joaquim deNovo Buján, JorgeOrtega Hortas, Marcos2024-05-132024-05-132022D. I. Morís, M. Gende, J. de Moura, J. Novo, M. Ortega, "Performance analysis of GAN approaches in the portable chest X-ray synthetic image generation for COVID-19 screening", 18th International Conference on Computer Aided Systems Theory - EUROCAST'22, 108-109, Las Palmas de Gran Canaria, Spain, 2022978-84-09-38381-8http://hdl.handle.net/2183/36468Versión aceptada de: D. I. Morís, M. Gende, J. de Moura, J. Novo, M. Ortega, "Performance analysis of GAN approaches in the portable chest X-ray synthetic image generation for COVID-19 screening", 18th International Conference on Computer Aided Systems Theory - EUROCAST'22, 108-109, Las Palmas de Gran Canaria, Spain, 2022Extended abstracts[Abstract]: This manuscript presents a performance analysis of chest Xray synthetic image generation for COVID-19 screening. The proposed system translates chest X-ray images from Normal to COVID-19 and vice versa, without needing paired data, representing a powerful data augmentation approach. To this end, we analyze the performance of 3 representative state of the art architectures for image translation, assessing the impact of oversampling on improving the performance of automatic COVID-19 screening.engComputer-aided DiagnosisPortable Chest X-rayCOVID-19Deep LearningSynthetic Image Generationconference outputopen access