APA (7th ed.) Citation

Sodhi, S. K., Pereira, A., Oakley, J. D., Golding, J., Trimboli, C., Russakoff, D. B., & Choudhry, N. (2022). Utilization of deep learning to quantify fluid volume of neovascular age-related macular degeneration patients based on swept-source OCT imaging: The ONTARIO study. PloS one, 17(2), e0262111. https://doi.org/10.1371/journal.pone.0262111

Chicago Style (17th ed.) Citation

Sodhi, Simrat K., Austin Pereira, Jonathan D. Oakley, John Golding, Carmelina Trimboli, Daniel B. Russakoff, and Netan Choudhry. "Utilization of Deep Learning to Quantify Fluid Volume of Neovascular Age-related Macular Degeneration Patients Based on Swept-source OCT Imaging: The ONTARIO Study." PloS One 17, no. 2 (2022): e0262111. https://doi.org/10.1371/journal.pone.0262111.

MLA (9th ed.) Citation

Sodhi, Simrat K., et al. "Utilization of Deep Learning to Quantify Fluid Volume of Neovascular Age-related Macular Degeneration Patients Based on Swept-source OCT Imaging: The ONTARIO Study." PloS One, vol. 17, no. 2, 2022, p. e0262111, https://doi.org/10.1371/journal.pone.0262111.