Data Annotation for Ophthalmology
Combining deep knowledge of ocular anatomy and advanced annotation techniques to accurately label ophthalmic images and retinal scans for precise diagnostic AI.
Core Capabilities
Advanced technology built for enterprise scale.
Ophthalmology Specialists
Our team includes skilled annotators guided by ophthalmologists, ensuring images accurately reflect clinical realities.
Specialized Guidelines
Comprehensive protocols for identifying rare features and subtle changes in eye structures indicating disease progression.
Fundus Image Annotation
Labeling high-resolution fundus images, marking critical structures like the retina, blood vessels, and optic nerve.
OCT Image Annotation
Labeling retinal layers and fluid pockets in cross-sectional scans to monitor disease and assess retinal thickness.
Multimodal Image Correlation
Integrating annotations across fundus, OCT, and slit-lamp images into comprehensive, standardized AI datasets.
Regulatory Compliance
Adhering to strict FDA and HIPAA standards to ensure privacy-protected solutions that help secure 510(k) clearances.
Proven Applications
See how industry leaders are leveraging our solutions in production environments.
Discuss Your Use Case
Diabetic Retinopathy Detection
Training models to automatically detect and grade diabetic retinopathy, making mass screening more efficient.
Age-Related Macular Degeneration
Accurate retina labeling helps identify age-related changes in the macula for early intervention.
Glaucoma Diagnosis
Annotating the optic nerve and cup-to-disc ratio to enable predictive AI models for early glaucoma detection.
Anterior-Segment Diagnosis
Assisting models in diagnosing corneal disorders, cataracts, and iritis using precise slit-lamp image annotation.
Visual Field Test Analysis
Annotating test data to identify peripheral vision loss and manage optic neuropathy effectively.
Tele-Ophthalmology
Structured annotated images facilitate remote consultations, allowing specialists to diagnose patients anywhere.