Deep Learning-Based Diagnosis Of Diabetic Retinopathy

Authors

  • Jharna Maiti Author
  • Ashu Nayak Author
  • Dr. Ritu Talwar Author

DOI:

https://doi.org/10.64252/cagww323

Keywords:

diabetic retinopathy, fundus images, CNNs, activation functions

Abstract

Macular edema occurs commonly to patients as a consequence of DR. Macula, the central portion of the retina, is dilated that is responsible for central, acute vision. Thus, it can significantly affect the visual loss. Hence, frequent eye exams are offered to identify DR as early as possible sometimes involving dilating the pupils in order to be able to view the retina in greater depth. Some imaging techniques like fundus photography and optical coherence tomography (OCT) et al are used to demonstrate the specific edition regarding retinal components. Prevalence of this rises with the prolonged duration of diabetes, leading to vision impairment and blindness mainly in the working age population. What initiates and advances DR is primarily risk factors such as elevated A1C, poorly controlled blood glucose, blood hypertension, hyperlipidaemia, and a family history. Ongoing exposure to hyperglycaemia causes changes in the retinal microvasculature to perform such actions as Microaneurysms, retinal haemorrhages, and neovascularization.

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Published

2025-03-14

How to Cite

Deep Learning-Based Diagnosis Of Diabetic Retinopathy. (2025). International Journal of Environmental Sciences, 11(1s), 1032-1036. https://doi.org/10.64252/cagww323