Sourajit Majumder

Deep learning model that detects glaucoma from retinal scans with high accuracy.

What I've done

• •Built a clinical-grade AI system that detects glaucoma from eye images with 94.5% AUC and 87.1% accuracy, beating traditional ML models by 15%
• •Used ResNet-18 for image classification and U-Net for optic disc/cup segmentation, plus Grad-CAM to show doctors why the AI made its decision.
• •Used ONYX instead of Pytorch for better performance.