Towards label-free 3D segmentation of optical coherence tomography images of the optic nerve head using deep learning-Reference-Cited by-同舟云学术

Towards label-free 3D segmentation of optical coherence tomography images of the optic nerve head using deep learning

Published:2020-10-15 Issue:11 Volume:11 Page:6356
ISSN:2156-7085
Container-title:Biomedical Optics Express
language:en
Short-container-title:Biomed. Opt. Express

Author:

Devalla Sripad Krishna,Pham Tan Hung,Panda Satish Kumar,Zhang Liang,Subramanian Giridhar,Swaminathan Anirudh,Yun Chin Zhi,Rajan Mohan,Mohan Sujatha,Krishnadas Ramaswami,Senthil Vijayalakshmi^ORCID,De Leon John Mark S.,Tun Tin A.,Cheng Ching-Yu,Schmetterer Leopold,Perera Shamira,Aung Tin,Thiéry Alexandre H.,Girard Michaël J. A.

Funder

Ministry of Education - Singapore

National University of Singapore

National Medical Research Council

Publisher

The Optical Society

Subject

Atomic and Molecular Physics, and Optics,Biotechnology

Reference68 articles.

1. The Retinal Nerve Fiber Layer Thickness in Ocular Hypertensive, Normal, and Glaucomatous Eyes With Optical Coherence Tomography

2. Rates of Retinal Nerve Fiber Layer Thinning in Glaucoma Suspect Eyes

3. Comparison of Bruch's Membrane Opening Minimum Rim Width and Peripapillary Retinal Nerve Fiber Layer Thickness in Early Glaucoma Assessment

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