A Review on Recent Development for Diagnosis of Glaucoma

Main Article Content

M. Ponni Bala, P. Rajalakshmi, A. Maria Sindhuja, S. Naganandhini


Glaucoma is the prominent retinal diseases which amends the Optic Nerve Head in the retina of human eye. It cannot be completely treated, but earlier diagnosis prevents vision loss. In the medical domain, broad array of applications can be carried out using an image processing techniques. Diagnosis of retinal diseases is the major employment in image processing techniques.  Recently the new non-invasive modality called Optical Coherence Tomography Angiography which could be applied for better analysis of eye diseases such as Age Related Macular Degeneration, Glaucoma and Diabetic Retinopathy. This paper deals with the exploit of Deep Learning techniques for Glaucoma diagnosis and its automated diagnosis system that helps the physicians to lighten their task crucially.

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How to Cite
A. Maria Sindhuja, S. Naganandhini, M. P. B. P. R. (2021). A Review on Recent Development for Diagnosis of Glaucoma. Annals of the Romanian Society for Cell Biology, 2723–2736. Retrieved from https://annalsofrscb.ro/index.php/journal/article/view/1740