Application of a Deep Learning System to Detect Papilledema on Nonmydriatic Ocular Fundus Photographs in an Emergency Department.

MLA

Biousse, Valérie, et al. “Application of a Deep Learning System to Detect Papilledema on Nonmydriatic Ocular Fundus Photographs in an Emergency Department.” American Journal of Ophthalmology, vol. 261, May 2024, pp. 199–207. EBSCOhost, https://doi.org/10.1016/j.ajo.2023.10.025.

APA

Biousse, V., Najjar, R. P., Tang, Z., Lin, M. Y., Wright, D. W., Keadey, M. T., Wong, T. Y., Bruce, B. B., Milea, D., & Newman, N. J. (2024). Application of a Deep Learning System to Detect Papilledema on Nonmydriatic Ocular Fundus Photographs in an Emergency Department. American Journal of Ophthalmology, 261, 199–207. https://doi.org/10.1016/j.ajo.2023.10.025

Chicago

Biousse, Valérie, Raymond P Najjar, Zhiqun Tang, Mung Yan Lin, David W Wright, Matthew T Keadey, Tien Y Wong, Beau B Bruce, Dan Milea, and Nancy J Newman. 2024. “Application of a Deep Learning System to Detect Papilledema on Nonmydriatic Ocular Fundus Photographs in an Emergency Department.” American Journal of Ophthalmology 261 (May): 199–207. doi:10.1016/j.ajo.2023.10.025.