Automatic Multifaceted Matlab Package for Analysis of Ocular Images (AMPAO)

Abstract

Ocular imaging can be found amongst the most prevalent and popular techniques that provide information about diseases affecting the visual system. Such information may be incorporated in applications beginning from diagnosis, through treatment, and extending to follow-ups. Optical Coherence Tomography (OCT) and enface ocular imaging like fundus and scanning laser ophthalmoscopy (SLO) are the most approved modalities since they are non-invasive, highly informative and comparatively inexpensive. There are already some established software for ocular image analysis; however, to be of use in real applications, the data analysis should be gathered in a platform that enables the data to flow through the software components. The principal goal of the software introduced in this paper is to accept different data formats, and to pipeline the data to different ocular analysis techniques. Furthermore, AMPAO permits use of each algorithm individually. Additionally, the software is flexible and could employ other analysis algorithms to be embedded in different sections. (C) 2019 The Authors. Published by Elsevier B.V.