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. 2021 May 18;9(5):e22664. doi: 10.2196/22664

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©Lei Li, Haogang Zhu, Zhenyu Zhang, Liang Zhao, Liang Xu, Rahul A Jonas, David F Garway-Heath, Jost B Jonas, Ya Xing Wang. Originally published in JMIR Medical Informatics (https://medinform.jmir.org), 18.05.2021.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Medical Informatics, is properly cited. The complete bibliographic information, a link to the original publication on https://medinform.jmir.org/, as well as this copyright and license information must be included.

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Overview of the 2-phased process in retinal nerve fiber layer (RNFL) profile compensation and its validation in discriminating glaucoma, which consisted of (A) applying the Lagrange multiplier, fully connected network (FCN), and radial basis function network (RBFN) to the training set, composed of 2223 eyes from 2223 nonglaucomatous participants, for RNFL thickness (RNFLT) compensation based on the impact of axial length (AL), age, disc-fovea angle (DFA), and disc fovea distance (DFD) and (B) evaluation of the performance of compensated RNFLT for glaucoma discrimination by comparing with the performance of the original RNFL profile.