Author:
Wang Yan,Alzogool Mohammad,Zou Haohan
Publisher
Springer International Publishing
Reference23 articles.
1. Kim TI, Alio Del Barrio JL, Wilkins M, Cochener B, Ang M. Refractive surgery. Lancet. 2019;393(10185):2085–98. https://doi.org/10.1016/S0140-6736(18)33209-4.
2. Lin SR, Ladas JG, Bahadur GG, Al-Hashimi S, Pineda R. A review of machine learning techniques for keratoconus detection and refractive surgery screening. Semin Ophthalmol. 2019;34(4):317–26. https://doi.org/10.1080/08820538.2019.1620812.
3. Ruiz Hidalgo I, Rodriguez P, Rozema JJ, Ni Dhubhghaill S, Zakaria N, Tassignon MJ, et al. Evaluation of a machine-learning classifier for keratoconus detection based on Scheimpflug tomography. Cornea. 2016;35(6):827–32. https://doi.org/10.1097/ICO.0000000000000834.
4. Mahmoud AM, Roberts C, Lembach R, Herderick EE, McMahon TT, Clek SG. Simulation of machine-specific topographic indices for use across platforms. Optom Vis Sci. 2006;83(9):682–93. https://doi.org/10.1097/01.opx.0000232944.91587.02.
5. Machado AP, Lyra JM, Ambrósio R, Ribeiro G, LPN A, Xavier C, et al., editors. Comparing machine-learning classifiers in keratoconus diagnosis from ORA examinations. Berlin: Springer; 2011.