Analysis of Diabetes Retinopathy Using Retinal Images
Dulanji Lokuarachchi, Kasun Gunarathna, Lahiru Muthumal, Tharindu Gamage
Diabetes retinopathy is progressive microvascular disease which need to be detected. If this is not detected early, it could lead to blindness. Detecting diabetes retinopathy at an early stage could prevent vision loss. This project mainly focuses to develop a set of algorithms to detect diabetes retinopathy at early stages by using retinal images.
Key Words:
Diabetes Retinopathy, Exudates, Red lesions
Overview
This project is a biomedical research-based project. There are basically two stages of Diabetic Retinopathy (DR) as non-proliferative DR and proliferative DR. When a person is suffering from early stages of DR the patient cannot identify any difference in vision. But when it develops to proliferative DR, the person can experience a difference in vision. At this stage, no treatments can be done because retinal tissues are highly damaged. But if the disease is diagnosed at early stages the vision loss can be prevented. For the diagnosis, there should be an experience ophthalmologist. But, with the development of automated detection techniques several diseases could be detected easily. Therefore, we used retinal images and developed algorithms to detect early symptoms of DR.
Publications
- Dulanji Lokuarachchi, Kasun Gunarathna, Lahiru Muthumal, Tharindu Gamage, 2018. Automated detection of exudates in retinal images. 15th IEEE Colloquium on Signal Processing and its Applications (CSPA 2019) Penang, Malaysia 08th Mar. – 09th Mar. 2019.
- Lokuarachchi, L. Muthumal, K. Gunarathna and T. D. Gamage, “Detection of Red Lesions in Retinal Images Using Image Processing and Machine Learning Techniques,” 2019 Moratuwa Engineering Research Conference (MERCon), Moratuwa, Sri Lanka, 2019
- Dulanji Lokuarachchi,Tharindu Gamage, Lahiru Muthumal, Kasun Gunarathna. “Localization of the Optic Disc Using Red and Green Channels of the Retinal Images” \textit{2019 International Conference on Advancements in Computing } (ICAC 2019) Sri Lankan Institute of Information Technology, Sri Lanka 5th December – 7th December 2019.