APA (7th ed.) Citation

R, B., G, D. C., D, G., L, C., L, P., C, R., & S, C. (2023). Enhancing COVID-19 CT Image Segmentation: A Comparative Study of Attention and Recurrence in UNet Models. Journal of imaging, 9(12), . https://doi.org/10.3390/jimaging9120283

Chicago Style (17th ed.) Citation

R, Buongiorno, Del Corso G, Germanese D, Colligiani L, Python L, Romei C, and Colantonio S. "Enhancing COVID-19 CT Image Segmentation: A Comparative Study of Attention and Recurrence in UNet Models." Journal of Imaging 9, no. 12 (2023). https://doi.org/10.3390/jimaging9120283.

MLA (9th ed.) Citation

R, Buongiorno, et al. "Enhancing COVID-19 CT Image Segmentation: A Comparative Study of Attention and Recurrence in UNet Models." Journal of Imaging, vol. 9, no. 12, 2023, https://doi.org/10.3390/jimaging9120283.