Can an automated algorithm identify choriocapillaris in 2D-optical coherence tomography images?

Abstract

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.

Keywords::

• automation
• choriocapillaris
• OCT
• RPE
• segmentation

Financial & competing interests disclosure

The authors have no relevant affiliations or financial involvement with any organization or entity with a financial interest in or financial conflict with the subject matter or materials discussed in the manuscript. This includes employment, consultancies, honoraria, stock ownership or options, expert testimony, grants or patents received or pending, or royalties.

No writing assistance was utilized in the production of this manuscript.