APA (7th ed.) Citation

Löffler, C., Ortiz Bruechle, N., Jung, M., Seillier, L., Rose, M., Laleh, N. G., . . . Kather, J. N. (2022). Artificial intelligence-based detection of FGFR3 mutational status directly from routine histology in bladder cancer: A possible preselection for molecular testing? European urology focus, 8(2), . https://doi.org/10.1016/j.euf.2021.04.007

Chicago Style (17th ed.) Citation

Löffler, Chiara, et al. "Artificial Intelligence-based Detection of FGFR3 Mutational Status Directly from Routine Histology in Bladder Cancer: A Possible Preselection for Molecular Testing?" European Urology Focus 8, no. 2 (2022). https://doi.org/10.1016/j.euf.2021.04.007.

MLA (9th ed.) Citation

Löffler, Chiara, et al. "Artificial Intelligence-based Detection of FGFR3 Mutational Status Directly from Routine Histology in Bladder Cancer: A Possible Preselection for Molecular Testing?" European Urology Focus, vol. 8, no. 2, 2022, https://doi.org/10.1016/j.euf.2021.04.007.