Mathematical Modelling of Diabetic Retinopathy in Eyes based on Lacunarity
G. Jagan Kumar1, G. Jayalalitha2
1G.Jagan Kumar*, Reasearch Scholar, Department of Mathematics, VELS Institute of Science, Technology & Advanced Studies, Chennai, Tamil Nadu, India.
2G. Jayalalitha , Professor, Department of Mathematics, VELS Institute of Science, Technology & Advanced Studies, Chennai, Tamil Nadu, India.
Manuscript received on November 15, 2019. | Revised Manuscript received on 26 November, 2019. | Manuscript published on December 10, 2019. | PP: 3337-3340 | Volume-9 Issue-2, December 2019. | Retrieval Number: A4139119119/2019©BEIESP | DOI: 10.35940/ijitee.A4139.129219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: In this paper, the contribution of fractals in diagnostic of the diabetic retinopathy is calculated Non-Invasive method. Fractal dimension such as Box-counting Method is calculated for few samples like Normal and Abnormal images. Gaps are formed between the retina vessels its analysis by Lacunarity. When the Lacunarity increases then dimension also increases. Based on Mathematical Model to prediction of incidence causes in for Diabetic Retinopathy. This research shows that effectiveness and cost-effectiveness of Mathematical Models to define the incidence of Diabetic Retinopathy in diabetic communities. From the dimension and models gives the fruitful result in Diabetic Retinopathy and helpful ophthalmologist that can be determined the diagnose of the Eyes.
Keywords: Mathematical Models, Diabetic Retinopathy, Fractal, Box-Counting Method, Epidemic Model.
Scope of the Article: Network Modelling and Simulation