Graph-based segmentation of retinal layers in oct images

Version 1.1.0.0 (3.07 KB) by pangyuteng
Demonstration of graph-based segmentation of retinal layers in an optical coherence tomography image
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Updated 16 Mar 2017

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This script demonstrates how graph theory can be used to segment retinal layers in optical coherence tomography images.
USAGE:
run the script by pressing F5.
I am working on a more comprehensive open source software package for computer-aided segmentation of retinal layers in optical coherence tomography images, which currently includes 1. automated segmentation of 6 reitnal layers and 2. GUI for examination and manual correction of the automated segmentation. It can be downloaded at my github page. http://pangyuteng.github.io/caserel
CITE AS:
Chiu, Stephanie J., et al. "Automatic segmentation of seven retinal layers in SDOCT images congruent with expert manual segmentation." Optics express 18.18 (2010): 19413-19428.
Teng, Pang-yu. (2013). Caserel - An Open Source Software for Computer-aided Segmentation of Retinal Layers in Optical Coherence Tomography Images. Zenodo. 10.5281/zenodo.17893
http://dx.doi.org/10.5281/zenodo.17893

Cite As

pangyuteng (2024). Graph-based segmentation of retinal layers in oct images (https://www.mathworks.com/matlabcentral/fileexchange/43518-graph-based-segmentation-of-retinal-layers-in-oct-images), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2012b
Compatible with any release
Platform Compatibility
Windows macOS Linux

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Version Published Release Notes
1.1.0.0

added citation
edit grammer.
+minor revision in the description section.
+added requirement: curve fitting toolbox.
updated summary
1.0.0.0