An Automatic Algorithm for Segmentation of the Boundaries of Corneal Layers in Optical Coherence Tomography Images using Gaussian Mixture Model

Diagnosis of corneal diseases is possible by measuring and evaluation of corneal thickness in different layers. Thus, the need for precise segmentation of corneal layer boundaries is inevitable. Obviously, manual segmentation is time‑consuming and imprecise. In this paper, the Gaussian mixture model...

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Bibliographic Details
Main Authors:	Mahdi Kazemian Jahromi, Raheleh Kafieh, Hossein Rabbani, Alireza Mehri Dehnavi, Alireza Peyman, Fedra Hajizadeh, Mohammadreza Ommani
Format:	Article
Language:	English
Published:	Wolters Kluwer Medknow Publications 2014-01-01
Series:	Journal of Medical Signals and Sensors
Subjects:	Corneal layers Gaussian mixture model optical coherence tomography segmentation
Online Access:	http://www.jmss.mui.ac.ir/article.asp?issn=2228-7477;year=2014;volume=4;issue=3;spage=171;epage=180;aulast=Jahromi

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http://www.jmss.mui.ac.ir/article.asp?issn=2228-7477;year=2014;volume=4;issue=3;spage=171;epage=180;aulast=Jahromi

An Automatic Algorithm for Segmentation of the Boundaries of Corneal Layers in Optical Coherence Tomography Images using Gaussian Mixture Model

Internet

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