Multivariate Normative Comparison, a Novel Method for Improved Use of Retinal Nerve Fiber Layer Thickness to Detect Early Glaucoma

Multivariate Normative Comparison, a Novel Method for Improved Use of Retinal Nerve Fiber Layer Thickness to Detect Early Glaucoma

Ophthalmology Glaucoma

10.1016/j.ogla.2021.10.013

https://doi.org/10.1016/j.ogla.2021.10.013

Jacqueline Chua, Florian Schwarzhans, Damon Wong, Chi Li, Rahat Husain, Jonathan G. Crowston, Shamira A. Perera, Chelvin C.A. Sng, Monisha E. Nongpiur, Shivani Majithia, Yih Chung Tham, Sahil Thakur, Zhi Da Soh, Ching-Yu Cheng, Tin Aung, Georg Fischer, Clemens Vass, Leopold Schmetterer

28 October 2021

Chua, J., Schwarzhans, F., Wong, D., Li, C., Husain, R., Crowston, J. G., Perera, S. A., Sng, C. C. A., Nongpiur, M. E., Majithia, S., Tham, Y. C., Thakur, S., Da Soh, Z., Cheng, C.-Y., Aung, T., Fischer, G., Vass, C., & Schmetterer, L. (2022). Multivariate Normative Comparison, a Novel Method for Improved Use of Retinal Nerve Fiber Layer Thickness to Detect Early Glaucoma. Ophthalmology Glaucoma, 5(3), 359–368. https://doi.org/10.1016/j.ogla.2021.10.013

Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)

This research / project is supported by the Agency for Science, Technology and Research - Advanced Manufacturing and Engineering (AME) Programmatic Grant
Grant Reference no. : A20H4b0141

https://oar.a-star.edu.sg/communities-collections/articles/22126

2589-4196

Institute of High Performance Computing