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Computerized retinal image analysis - a survey

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Abstract

The speedy development of digital imaging and computer vision has extended the potential of using these technologies in ophthalmology. Image processing systems are increasingly prominent in medical diagnostic systems and especially to modern ophthalmology. The retinal images give information about the health of the visual system. Retinal diseases, such as glaucoma, diabetic retinopathy, age-related macular degeneration, and many other diseases that can lead to blindness, manifest themselves in the retina. An automated system offers standardized large-scale screening at a lower cost, reduces human errors, and provides services to remote areas. Extensive research has been done since the last two decades in developing automated methods. Due to the fast evolution of new techniques, a comprehensive review is needed on such technique and algorithms present to date. This survey paper provides the reader a comprehensive review of the existing research in automated retinal image analysis. In this paper, automated computer aided methods used to diagnose retinal diseases have been reviewed. Several state-of-the art techniques and algorithms used to localize and segment features, such as optic disc and optic cup, macula and fovea, retinal blood vessels, detection of retinal lesions (microaneurysms, haemorrhages, exudates), are discussed and presented.

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  1. Department of CSE, CEG, Anna University, Chennai, India

    Kanupriya Mittal & V. Mary Anita Rajam

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  1. Kanupriya Mittal
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  2. V. Mary Anita Rajam
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Correspondence to Kanupriya Mittal.

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Mittal, K., Rajam, V.M.A. Computerized retinal image analysis - a survey. Multimed Tools Appl 79, 22389–22421 (2020). https://doi.org/10.1007/s11042-020-09041-y

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