APA (7th ed.) Citation

V, R., A, P., C, C., G, T., CL, M., E, A., . . . C, P. (2024). Artificial intelligence for automatic detection and segmentation of nasal polyposis: A pilot study. European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery, 281(11), 5815. https://doi.org/10.1007/s00405-024-08809-4

Chicago Style (17th ed.) Citation

V, Rampinelli, et al. "Artificial Intelligence for Automatic Detection and Segmentation of Nasal Polyposis: A Pilot Study." European Archives of Oto-rhino-laryngology : Official Journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : Affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery 281, no. 11 (2024): 5815. https://doi.org/10.1007/s00405-024-08809-4.

MLA (9th ed.) Citation

V, Rampinelli, et al. "Artificial Intelligence for Automatic Detection and Segmentation of Nasal Polyposis: A Pilot Study." European Archives of Oto-rhino-laryngology : Official Journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : Affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery, vol. 281, no. 11, 2024, p. 5815, https://doi.org/10.1007/s00405-024-08809-4.