Project Info

ProjectId:25546

Glaucoma is an eye disease that damages the optic nerve head (ONH) causing loss of vision. Therefore, early diagnosis and treatment are important in preventing possible blindness caused by glaucoma. . Computer vision techniques have been applied to diagnose glaucoma effectively and correctly with little overhead. These techniques measure OC and OC dimensions using machine learning based classification and segmentation algorithms. In this model we Trained a binary image classifier using CNNs and deployed on web app.The model provides 93% accuracy under AUC curve.

• Model detects glaucoma from the images
• Provides Highest Accuracy
• Web based User Interface