Cite
Artificial intelligence for automatic detection and segmentation of nasal polyposis: a pilot study.
MLA
Rampinelli, Vittorio, 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, Nov. 2024, pp. 5815–21. EBSCOhost, https://doi.org/10.1007/s00405-024-08809-4.
APA
Rampinelli, V., Paderno, A., Conti, C., Testa, G., Modesti, C. L., Agosti, E., Dohin, I., Saccardo, T., Vinciguerra, A., Ferrari, M., Schreiber, A., Mattavelli, D., Nicolai, P., Holsinger, C., & Piazza, C. (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), 5815–5821. https://doi.org/10.1007/s00405-024-08809-4
Chicago
Rampinelli, Vittorio, Alberto Paderno, Carlo Conti, Gabriele Testa, Claudia Lodovica Modesti, Edoardo Agosti, Isabelle Dohin, et al. 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): 5815–21. doi:10.1007/s00405-024-08809-4.