DRUNET: a dilated-residual U-Net deep learning network to segment optic nerve head tissues in optical coherence tomography images-Reference-Cited by-同舟云学术

DRUNET: a dilated-residual U-Net deep learning network to segment optic nerve head tissues in optical coherence tomography images

Published:2018-06-25 Issue:7 Volume:9 Page:3244
ISSN:2156-7085
Container-title:Biomedical Optics Express
language:en
Short-container-title:Biomed. Opt. Express

Author:

Devalla Sripad Krishna,Renukanand Prajwal K.,Sreedhar Bharathwaj K.,Subramanian Giridhar,Zhang Liang,Perera Shamira,Mari Jean-Martial,Chin Khai Sing,Tun Tin A.,Strouthidis Nicholas G.,Aung Tin,Thiéry Alexandre H.,Girard Michaël J. A.

Funder

Ministry of Education - Singapore (MOE)

National Medical Research Council (NMRC)

National University of Singapore (NUS)

Publisher

The Optical Society

Subject

Atomic and Molecular Physics, and Optics,Biotechnology

Reference62 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. Measurement of Retinal Nerve Fiber Layer Thickness and Macular Volume for Glaucoma Detection Using Optical Coherence Tomography

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

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