Diabetic retinopathy detection using curvelet and retina analyser

被引：0

作者：

Saha, Manas ^{[1
]}

Chatterji, Biswa Nath ^{[2
]}

机构：

[1] Siliguri Institute of Technology, West Bengal, Siliguri

[2] B.P. Poddar Institute of Management and Technology, West Bengal, Kolkata

来源：

International Journal of Information and Communication Technology | 2024年 / 25卷 / 03期

关键词：

diabetic retinopathy; optic fundus; retinal vasculature; single layer perceptron; tortuosity;

D O I：

10.1504/IJICT.2024.140486

中图分类号：

学科分类号：

摘要：

The diabetic retinopathy (DR) is a clinical disorder of retina caused due to diabetes mellitus. This work presents an automated detection of DR images using curvelet and retina analyser. Like Fourier transform, curvelet is a mathematical transform. It is deployed here to trace the directional field of the curve singularities of the retina images. This helps to segment the retinal vasculature of the fundus images. The change in retinal morphology like length, diameter, tortuosity due to the ophthalmoscopic changes are computed by retina analyser. Feedforward neural network (FNN) is implemented to detect DR images with sensitivity: 79%, specificity: 94% and accuracy: 88% which is better than the contemporary works. The proposed system is a smart integration of three modules – curvelet, retina analyser, and FNN. It is simple, less time consuming and easily implementable. In future the same system can be extended to detect exact stage of DR. Copyright © 2024 Inderscience Enterprises Ltd.

引用

页码：244 / 264

页数：20

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