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Segmentation of Three-dimensional Retinal Image Data
November/December 2007 (vol. 13 no. 6)
pp. 1719-1726
ASCII Text
x 
 
Alfred Fuller, Robert Zawadzki, Stacey Choi, David Wiley, John Werner, Bernd Hamann, "Segmentation of Three-dimensional Retinal Image Data," IEEE Transactions on Visualization and Computer Graphics, vol. 13, no. 6, pp. 1719-1726, November/December, 2007.
 
 
BibTex
x
 
@article{ 10.1109/TVCG.2007.70590,
author = {Alfred Fuller and Robert Zawadzki and Stacey Choi and David Wiley and John Werner and Bernd Hamann},
title = {Segmentation of Three-dimensional Retinal Image Data},
journal ={IEEE Transactions on Visualization and Computer Graphics},
volume = {13},
number = {6},
issn = {1077-2626},
year = {2007},
pages = {1719-1726},
doi = {http://doi.ieeecomputersociety.org/10.1109/TVCG.2007.70590},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - JOUR
JO - IEEE Transactions on Visualization and Computer Graphics
TI - Segmentation of Three-dimensional Retinal Image Data
IS - 6
SN - 1077-2626
SP1719
EP1726
EPD - 1719-1726
A1 - Alfred Fuller,
A1 - Robert Zawadzki,
A1 - Stacey Choi,
A1 - David Wiley,
A1 - John Werner,
A1 - Bernd Hamann,
PY - 2007
KW - support vector machine
KW - segmentation
KW - image analysis
KW - retinal
KW - optical coherence tomography
KW - volume visualization
KW - image processing.
VL - 13
JA - IEEE Transactions on Visualization and Computer Graphics
ER -
 
We have combined methods from volume visualization and data analysis to support better diagnosis and treatment of human retinal diseases. Many diseases can be identified by abnormalities in the thicknesses of various retinal layers captured using optical coherence tomography (OCT). We used a support vector machine (SVM) to perform semi-automatic segmentation of retinal layers for subsequent analysis including a comparison of layer thicknesses to known healthy parameters. We have extended and generalized an older SVM approach to support better performance in a clinical setting through performance enhancements and graceful handling of inherent noise in OCT data by considering statistical characteristics at multiple levels of resolution. The addition of the multi-resolution hierarchy extends the SVM to have “global awareness.” A feature, such as a retinal layer, can therefore be modeled

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Index Terms:
support vector machine, segmentation, image analysis, retinal, optical coherence tomography, volume visualization, image processing.
Citation:
Alfred Fuller, Robert Zawadzki, Stacey Choi, David Wiley, John Werner, Bernd Hamann, "Segmentation of Three-dimensional Retinal Image Data," IEEE Transactions on Visualization and Computer Graphics, vol. 13, no. 6, pp. 1719-1726, Nov.-Dec. 2007, doi:10.1109/TVCG.2007.70590
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