About
This project utilizes computer vision and deep learning to enable non-specialist clinics and other healthcare professionals to accurately diagnose ocular diseases. This AI-driven diagnostic solution analyzes eye imaging data, providing reliable diagnoses to bridge the gap between the shortage of eye care professionals and the urgent need for accessible eye care services. By empowering non-specialized facilities with advanced diagnostic capabilities, it aims to combat preventable blindness globally through early detection and treatment, especially in underserved areas. With a user-friendly interface and robust models, CALADAN offers a scalable, cost-effective solution to promote equitable access to eye health.
Builders
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