Automatic segmentation of up to ten layer boundaries in SD-OCT images of the mouse retina with and without missing layers due to pathology-Reference-Cited by-同舟云学术

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Automatic segmentation of up to ten layer boundaries in SD-OCT images of the mouse retina with and without missing layers due to pathology

Published:2014-01-07 Issue:2 Volume:5 Page:348
ISSN:2156-7085
Container-title:Biomedical Optics Express
language:en
Short-container-title:Biomed. Opt. Express

Author:

Srinivasan Pratul P.,Heflin Stephanie J.,Izatt Joseph A.,Arshavsky Vadim Y.,Farsiu Sina

Funder

National Institutes of Health (NIH)

North Carolina Biotechnology Center

U.S. Army Medical Research and Materiel Command (USAMRMC)

Publisher

The Optical Society

Subject

Atomic and Molecular Physics, and Optics,Biotechnology

Reference35 articles.

1. Retinal Thickness Normative Data in Wild-Type Mice Using Customized Miniature SD-OCT

2. Noninvasive Volumetric Imaging and Morphometry of the Rodent Retina with High-Speed, Ultrahigh-Resolution Optical Coherence Tomography

3. Simultaneous Fundus Imaging and Optical Coherence Tomography of the Mouse Retina

4. Automatic segmentation of seven retinal layers in SDOCT images congruent with expert manual segmentation

5. Validated Automatic Segmentation of AMD Pathology Including Drusen and Geographic Atrophy in SD-OCT Images

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