APA (7th ed.) Citation

LC, S., SI, P., KH, H., CY, W., KF, L., & PN, C. (2023). Generative adversarial network-based deep learning approach in classification of retinal conditions with optical coherence tomography images. Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie, 261(5), 1399. https://doi.org/10.1007/s00417-022-05919-9

Chicago Style (17th ed.) Citation

LC, Sun, Pao SI, Huang KH, Wei CY, Lin KF, and Chen PN. "Generative Adversarial Network-based Deep Learning Approach in Classification of Retinal Conditions with Optical Coherence Tomography Images." Graefe's Archive for Clinical and Experimental Ophthalmology = Albrecht Von Graefes Archiv Fur Klinische Und Experimentelle Ophthalmologie 261, no. 5 (2023): 1399. https://doi.org/10.1007/s00417-022-05919-9.

MLA (9th ed.) Citation

LC, Sun, et al. "Generative Adversarial Network-based Deep Learning Approach in Classification of Retinal Conditions with Optical Coherence Tomography Images." Graefe's Archive for Clinical and Experimental Ophthalmology = Albrecht Von Graefes Archiv Fur Klinische Und Experimentelle Ophthalmologie, vol. 261, no. 5, 2023, p. 1399, https://doi.org/10.1007/s00417-022-05919-9.