APA (7th ed.) Citation

Lin, Y., Liang, C., Chou, Y., Lin, C., Chen, K., Pan, L., . . . Ke, C. (2024). Best-Corrected Visual Acuity Quantitative Prediction for Cataract Patients: AI-Assisted Clinical Diagnostics Facilitation via the Inverse Problem Algorithm. Diagnostics (2075-4418), 14(19), 2126. https://doi.org/10.3390/diagnostics14192126

Chicago Style (17th ed.) Citation

Lin, Ya-Hui, Chun-Chieh Liang, Ying-Liang Chou, Chih-Sheng Lin, Ke-Lin Chen, Lung-Kwang Pan, Kai-Yuan Cheng, and Ching-Hsiu Ke. "Best-Corrected Visual Acuity Quantitative Prediction for Cataract Patients: AI-Assisted Clinical Diagnostics Facilitation via the Inverse Problem Algorithm." Diagnostics (2075-4418) 14, no. 19 (2024): 2126. https://doi.org/10.3390/diagnostics14192126.

MLA (9th ed.) Citation

Lin, Ya-Hui, et al. "Best-Corrected Visual Acuity Quantitative Prediction for Cataract Patients: AI-Assisted Clinical Diagnostics Facilitation via the Inverse Problem Algorithm." Diagnostics (2075-4418), vol. 14, no. 19, 2024, p. 2126, https://doi.org/10.3390/diagnostics14192126.