Detecting glaucoma based on spectral domain optical coherence tomography imaging of peripapillary retinal nerve fiber layer: a comparison study between hand-crafted features and deep learning model-Reference-Cited by-同舟云学术

Detecting glaucoma based on spectral domain optical coherence tomography imaging of peripapillary retinal nerve fiber layer: a comparison study between hand-crafted features and deep learning model

Published:2019-12-07 Issue:3 Volume:258 Page:577-585
ISSN:0721-832X
Container-title:Graefe's Archive for Clinical and Experimental Ophthalmology
language:en
Short-container-title:Graefes Arch Clin Exp Ophthalmol

Author:

Zheng Ce,Xie Xiaolin,Huang Longtao,Chen Binyao,Yang Jianling,Lu Jiewei,Qiao Tong,Fan Zhun,Zhang Mingzhi

Funder

National Natural Science Foundation of China

Clinical Research Funds of Shantou University Medical College

Publisher

Springer Science and Business Media LLC

Subject

Cellular and Molecular Neuroscience,Sensory Systems,Ophthalmology

Link

http://link.springer.com/content/pdf/10.1007/s00417-019-04543-4.pdf

Reference28 articles.

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2. Weinreb RN, Aung T, Medeiros FA (2014) The pathophysiology and treatment of glaucoma: a review. JAMA 311:1901–1911

3. Sung KR, Kim JS, Wollstein G et al (2011) Imaging of the retinal nerve fibre layer with spectral domain optical coherence tomography for glaucoma diagnosis. Br J Ophthalmol 95:909–914. https://doi.org/10.1136/bjo.2010.186924

4. Medeiros FA, Zangwill LM, Bowd C et al (2005) Evaluation of retinal nerve fiber layer, optic nerve head, and macular thickness measurements for glaucoma detection using optical coherence tomography. Am J Ophthalmol 139:44–55

5. Leung CK, Cheung CY, Weinreb RN et al (2009) Retinal nerve fiber layer imaging with spectral-domain optical coherence tomography: a variability and diagnostic performance study. Ophthalmology 116:1257–1263

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