Automated diagnosing primary open-angle glaucoma from fundus image by simulating human's grading with deep learning
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Lin, M., Hou, B., Liu, L. et al. Automated diagnosing primary open-angle glaucoma from fundus image by simulating human’s grading with deep learning. Sci Rep 12, 14080 (2022). https://doi.org/10.1038/s41598-022-17753-4 This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
Lin, Mingquan; Hou, Bojian; Liu, Lei; Gordon, Mae; Kass, Michael; Wang, Fei; Van Tassel, Sarah H; and Peng, Yifan, "Automated diagnosing primary open-angle glaucoma from fundus image by simulating human's grading with deep learning." Scientific Reports. 12, 1. 14080 (2022).
Supplementary Figure S1
41598_2022_17753_MOESM2_ESM.docx (19 kB)