SELENA+ leverages deep learning technology to automate early detection of major eye diseases — improving accuracy, speeding up screening and lowering healthcare costs.
SELENA+ by EyRIS leverages advanced deep learning technology to automate the detection of major eye diseases. Designed for hospitals, clinics, and national screening programs, it enhances diagnostic accuracy, streamlines workflows, and supports early clinical intervention.
Advanced image processing algorithms analyze retinal images in their raw form, identifying complex patterns and extracting meaningful clinical insights.
Utilizes CNN models to recognize referable diabetic retinopathy (DR), glaucoma suspect (GS), and age-related macular degeneration (AMD) from retinal images.
Trained and validated on nearly 500,000 retinal images, ensuring high accuracy, reliability, and consistent disease detection performance.
SELENA+ transforms retinal diagnostics through intelligent automation, enabling faster screening, improved accuracy, and scalable healthcare delivery.
Automated Screening Model
SELENA+ transforms retinal diagnostics through intelligent automation, enabling faster screening, improved accuracy, and scalable healthcare delivery.
Image Acquisition
Capture digital fundus photographs using standard retinal imaging devices.
Secure Image Submission
Electronically upload retinal images via a secure web-based platform.
Intelligent AI Analysis
Deep learning models analyze images to detect diabetic retinopathy (DR), glaucoma suspect (GS), and age-related macular degeneration (AMD).
Assessment Report Delivery
Structured screening reports are generated to support clinical review and decision-making.
SELENA+ is powered by an advanced Deep Learning System (DLS) designed to analyze retinal photographs with human-like intelligence. The system uses convolutional neural networks (CNNs) to recognize visual patterns associated with diabetic retinopathy, glaucoma suspect, and age-related macular degeneration.
The models were trained using hundreds of thousands of retinal images, enabling the system to accurately differentiate between normal and referable cases. Validation was conducted across multiple external datasets to ensure accuracy, reliability, and real-world clinical performance.
Win Solutions supports the implementation of SELENA+ by EyRIS, ensuring smooth onboarding, integration, training, and ongoing support. As your trusted local partner, we connect advanced AI healthcare technology with your operational needs.
Personalized expertise – Local consultants who understand your workflows and regulatory needs.
Tailored onboarding – Customized system setup and hands-on user training to ensure smooth adoption and faster time-to-value.
Continuous support – Ongoing assistance and system monitoring to ensure optimal performance.
Book a demo and see how SELENA+ uses AI to detect major eye diseases quickly and accurately.
