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Diabetic Retinopathy Based on GUI

Sreenidhi B.*, Thamotharan G. **, Lucija Majcen***, Lara Mervar****

*-**** Department of Computer Science and Engineering, SRM Valliammai Engineering College, Kancheepuram, Tamil Nadu, India.

Periodicity:January - June'2021
DOI : https://doi.org/10.26634/jmt.8.1.18159

Abstract

Blood vessel disease has emerged as a major global threat. If blood vessel disease is not diagnosed and treated promptly, it might lead to other illnesses in the patient's body. One such ailment has to do with the retina of the human eye and how it affects the retina and retinal anatomy. Retinopathy is a screening method for detecting such abnormalities in the retina. Auto identification of retinopathy based on feature extractions is now possible, thanks to recent technological advances in image processing. This analysis not only aids in the diagnosis of the condition, but also in determining its severity. We employ SVM-based machine learning algorithms.

Keywords

Machine Learning, Image Processing, Segmentation, Classification.

How to Cite this Article?

Sreenidhi, B., Thamotharan, G., Lalitha, A., and Thanuprasanth, C. (2021). Diabetic Retinopathy Based on GUI. i-manager's Journal on Mobile Applications and Technologies, 8(1), 26-31. https://doi.org/10.26634/jmt.8.1.18159

References

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