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A Model Approach to Diagnose Diabetic Retinopathy with Deep Learning

Author(s) C Kavya, Dr M C Bhanu Prasad
Country India
Abstract Diabetic retinopathy (DR) is a not unusual eye disease that impacts human beings with diabetes and can lead to imaginative and prescient loss or blindness if no longer detected and dealt with early. This mission presents a modern answer for DR detection the usage of deep learning competencies. Using the InceptionV3 framework, we developed an accurate and efficient version to categorise retinal pix into 5 distinct lessons: slight, moderate, non-diabetic retinopathy, proliferative diabetic retinopathy, and severe. In this have a look at, we used Python as the main programming language to build a deep mastering version. The version turned into skilled on a cautiously accrued dataset of 2222 retinal images, each categorised with the appropriate DR severity. The great overall performance of our version is proven by way of a mean education accuracy of 97.3%, which demonstrates its potential to research patterns from complicated statistics. Furthermore, the power of our version extends to its generalizability. It reached 95.6% accuracy on the check dataset, demonstrating its ability to correctly identify DR severity stages in formerly unseen snap shots. This high accuracy check highlights the sensible software of our deep gaining knowledge of method for DR diagnosis in real-world settings. The capability to appropriately diagnose the severity of DR relies upon on early intervention and timely remedy, which could considerably enhance affected person results. Using InceptionV3 and a massive dataset, this mission contributes to the observe of packages in scientific diagnostics, in particular inside the area of ophthalmology. Our paintings promises to make diabetes prognosis speedier, efficient, and correct, so one can in the long run enhance the excellent of healthcare for sufferers with diabetes.
Keywords Deep Learning, Convolutional Neural Network (CNN), Diabetic Retina, Python, Image Processing
Field Engineering
Published In Volume 6, Issue 4, April 2025
Published On 2025-04-14
Cite This A Model Approach to Diagnose Diabetic Retinopathy with Deep Learning - C Kavya, Dr M C Bhanu Prasad - IJLRP Volume 6, Issue 4, April 2025.
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