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Automatic Multifaceted Matlab Package for Analysis of Ocular Images (Ampao) Publisher



Kafieh R1 ; Amini Z1 ; Rabbani H1 ; Baghbaderani BK2 ; Salafian B3 ; Mazaheri F3 ; Mokhtari M4
Authors
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Authors Affiliations
  1. 1. School of Advanced Technologies in Medicine, Medical Image and Signal Processing Research Center, Isfahan University of Medical Sciences, Isfahan, Iran
  2. 2. Department of Electrical Engineering, Tehran University, Tehran, Iran
  3. 3. Department of Electrical and Computer Engineering, Isfahan University of Technology, Isfahan, Iran
  4. 4. Student Research Center, School of Advanced Technologies in Medicine, Isfahan University of Medical Sciences, Isfahan, Iran

Source: SoftwareX Published:2019


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. © 2019
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