Analysis of generalizability on predicting COVID-19 from chest X-ray images using pre-trained deep models

MLA

de Sousa Freire, Natalia, et al. “Analysis of Generalizability on Predicting COVID-19 from Chest X-Ray Images Using Pre-Trained Deep Models.” Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, vol. 11, no. 7, Jan. 2024, pp. 2725–35. EBSCOhost, https://doi.org/10.1080/21681163.2023.2264408.

APA

de Sousa Freire, N., de Souza Leo, P. P., Tiago, L. A., de Almeida Campos Gonalves, A., Pinto, R. A., dos Santos, E. M., & Souto, E. (2024). Analysis of generalizability on predicting COVID-19 from chest X-ray images using pre-trained deep models. Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, 11(7), 2725–2735. https://doi.org/10.1080/21681163.2023.2264408

Chicago

de Sousa Freire, Natalia, Pedro Paulo de Souza Leo, Leonardo Albuquerque Tiago, Alberto de Almeida Campos Gonalves, Rafael Albuquerque Pinto, Eulanda Miranda dos Santos, and Eduardo Souto. 2024. “Analysis of Generalizability on Predicting COVID-19 from Chest X-Ray Images Using Pre-Trained Deep Models.” Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization 11 (7): 2725–35. doi:10.1080/21681163.2023.2264408.