Eye Disease Detection — Computer Vision
CV Engineer2024
Deep Learning · CNN Accuracy · PyTorch · Medical AI
View Gallery
Gallery
Detection Interface
Detection Interface
A medical AI system for detection and classification of retinal diseases (cataracts, glaucoma) to provide accessible diagnostic assistance.
Key Achievements
- Designed and trained a Convolutional Neural Network (CNN) achieving high precision in disease classification.
- Developed a clinical diagnostic tool utilizing PyTorch for deep learning inference.
- Built a user-friendly Flask interface for doctors to upload images and receive automated findings.
- Optimized the model to focus on underserved regions where specialized eye care is limited.
Tech Stack
PythonPyTorchCNNOpenCVFlask