Can an automated algorithm identify choriocapillaris in 2D-optical coherence tomography images?. (August 2014)

• Record Type: Journal Article
• Authors: Chhablani, Jay; Channappayya, Sumohana; Richhariya, Ashutosh
• Is Part Of: Expert review of ophthalmology. Volume 9:Number 4(2014)
• Page Start: 259
• Page End: 261
• Publication Date: 2014-08
• Subjects: Ophthalmology -- Periodicals; 617.7005
• DOI: 10.1586/17469899.2014.922875
• Languages: English
• ISSNs: 1746-9899

Abstract

<abstract> <title> <x xml:space="preserve">Abstract</x> </title> <p>This editorial considers the problem of automatic identification of choriocapillaris in 2D-optical coherence tomography images. Firstly, the major challenges in automating the process are presented. Subsequently, the authors present an overview of current methods in the automatic segmentation of 2D-optical coherence tomography images. Lastly, the authors close with a discussion on a recent algorithm for the automated identification of choriocapillaris based on the identification of the retinal pigment epithelial layer and the region in its immediate neighborhood, and its capabilities.</p> </abstract>