APA (7th ed.) Citation

P, V., P, F., B, H., P, K., HPN, S., PC, C., . . . PM, M. (2022). Feasibility of Automated Segmentation of Pigmented Choroidal Lesions in OCT Data With Deep Learning. Translational vision science & technology, 11(9), 25. https://doi.org/10.1167/tvst.11.9.25

Chicago Style (17th ed.) Citation

P, Valmaggia, Friedli P, Hörmann B, Kaiser P, Scholl HPN, Cattin PC, Sandkühler R, and Maloca PM. "Feasibility of Automated Segmentation of Pigmented Choroidal Lesions in OCT Data With Deep Learning." Translational Vision Science & Technology 11, no. 9 (2022): 25. https://doi.org/10.1167/tvst.11.9.25.

MLA (9th ed.) Citation

P, Valmaggia, et al. "Feasibility of Automated Segmentation of Pigmented Choroidal Lesions in OCT Data With Deep Learning." Translational Vision Science & Technology, vol. 11, no. 9, 2022, p. 25, https://doi.org/10.1167/tvst.11.9.25.