SmartDR+: Extensible Retinal Disease Detection Platform
Year: 2025
Type: article
Abstract: Diabetic Retinopathy (DR) is one of the most preva- lent causes of preventable blindness, particularly in diabetic patients. The increasing number of diabetic cases worldwide has made early screening for retinal abnormalities more critical than ever. This paper presents SmartDR+, a scalable and extensible deep learning–based framework for automated detection of DR from high-resolution retinal fundus images. The system integrates robust preprocessing techniques, transfer learning using lightweight backbones, and interpretability through Grad- CAM heatmaps [2], [4], [5], [1], [3], [6]. SmartDR+ can operate efficiently on both cloud and edge devices [2], [4], [5], [1], [3], [6], providing cost-effective, explainable, and real-time screening. Experimental evaluations on the APTOS and EyePACS datasets demonstrate competitive accuracy and interpretability. The sys- tem provides a promising direction for AI-assisted ophthalmology and telemedicine applications in rural healthcare
Language: English
Topic: Retinal Imaging and Analysis
Subfield: Radiology, Nuclear Medicine and Imaging
Field: Medicine
Domain: Health Sciences
Open Access status: diamond
OpenAlex ID: W4416177474