Abstract:
The Diabetic Retinopathy Detection Application is a cutting-edge, web-based decision-support system that leverages automated screening to detect DR, which is a significant contributor to early blindness in diabetic patients. The system streamlines the screening process and reduces ophthalmologists' workload by automating the report generation process. The project's scope includes identifying key challenges for DR detection, researching recognition techniques, and implementing the proposed method. The project also aims to transfer important diagnostic, teaching, and research technologies, establish a medical image processing research lab in future, and form an innovative incubation center to address industry-related problems. Ultimately, the Diabetic Retinopathy Detection Application (Retina Doc) aims to reduce the risk of blindness among diabetic patients, especially in remote areas deprived of high-end machines that can detect DR, and save individuals from the consequences of DR.
