Three-dimensional segmentation of retinal cysts from spectral-domain optical coherence tomography images by the use of three-dimensional curvelet based K-SVD

Three-dimensional segmentation of retinal cysts from spectral-domain optical coherence tomography images by the use of three-dimensional curvelet based K-SVD

This paper presents a new three-dimensional curvelet transform based dictionary learning for automatic segmentation of intraretinal cysts, most relevant prognostic biomarker in neovascular age-related macular degeneration, from 3D spectral-domain optical coherence tomography. (SD-OCT) images. In par...

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Bibliographic Details
Main Authors: Mahdad Esmaeili, Alireza Mehri Dehnavi, Hossein Rabbani, Fedra Hajizadeh
Format: Article
Language:English
Published: Wolters Kluwer Medknow Publications 2016-01-01
Series:Journal of Medical Signals and Sensors
Subjects:
Biomarkers
Cysts
Dictionary learning
Digital curvelet transform
Optical coherence tomography
Nerve fibers
Noise
Retinal pigment epithelium
Wet macular degeneration
Online Access:http://www.jmss.mui.ac.ir/article.asp?issn=2228-7477;year=2016;volume=6;issue=3;spage=166;epage=171;aulast=Esmaeili

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http://www.jmss.mui.ac.ir/article.asp?issn=2228-7477;year=2016;volume=6;issue=3;spage=166;epage=171;aulast=Esmaeili

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