APA (7th ed.) Citation

P, F., F, F., A, J., M, R., M, W., P, P., . . . T, P. (2022). Assessment of COVID-19 lung involvement on computed tomography by deep-learning-, threshold-, and human reader-based approaches-an international, multi-center comparative study. Quantitative imaging in medicine and surgery, 12(11), 5156. https://doi.org/10.21037/qims-22-175

Chicago Style (17th ed.) Citation

P, Fervers, et al. "Assessment of COVID-19 Lung Involvement on Computed Tomography by Deep-learning-, Threshold-, and Human Reader-based Approaches-an International, Multi-center Comparative Study." Quantitative Imaging in Medicine and Surgery 12, no. 11 (2022): 5156. https://doi.org/10.21037/qims-22-175.

MLA (9th ed.) Citation

P, Fervers, et al. "Assessment of COVID-19 Lung Involvement on Computed Tomography by Deep-learning-, Threshold-, and Human Reader-based Approaches-an International, Multi-center Comparative Study." Quantitative Imaging in Medicine and Surgery, vol. 12, no. 11, 2022, p. 5156, https://doi.org/10.21037/qims-22-175.