Joint optic disk and cup segmentation for glaucoma screening using a region-based deep learning network
Author:
Publisher
Springer Science and Business Media LLC
Subject
Ophthalmology
Link
https://www.nature.com/articles/s41433-022-02055-w.pdf
Reference43 articles.
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2. Zhao RC, Chen XL, Liu XY, Chen ZL, Guo F, Li S. Direct cup-to-disc ratio estimation for glaucoma screening via. semi-supervised learning. IEEE J Biomed Health. 2020;24:1104–13. https://doi.org/10.1109/JBHI.2019.2934477.
3. Morgan JE, Sheen NJL, North RV, Choong Y, Ansari E. Digital imaging of the optic nerve head: monoscopic and stereoscopic analysis. Brit J Ophthalmol. 2005;89:879–84. https://doi.org/10.1136/bjo.2004.046169.
4. Thakur N, Juneja M. Survey on segmentation and classification approaches of optic cup and optic disc for diagnosis of glaucoma. Biomed Signal Proces. 2018;42:162–89. https://doi.org/10.1016/j.bspc.2018.01.014.
5. Almazroa A, Burman R, Raahemifar K, Lakshminarayanan V. Optic disc and optic cup segmentation methodologies for glaucoma image detection: a survey. J Ophthalmol. 2015;2015:1–28. https://doi.org/10.1155/2015/180972.
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