Explainable retinal screening
Retra
A diabetic retinopathy screening platform that pairs severity predictions with readable Grad-CAM reports.
The project
Retra reads retinal fundus images, predicts diabetic retinopathy severity, and makes the model's reasoning visible through confidence outputs and Grad-CAM heatmaps. The experience is designed around turning a computer vision result into a report that is easier to inspect and understand.
What it does
01
Explainable predictions
Shows severity, confidence, and Grad-CAM overlays together instead of presenting an opaque classification.
02
Image pipeline
Uses Ben Graham preprocessing and an EfficientNet-B3 classifier tuned for retinal fundus imagery.
03
Readable reporting
Packages model output into a clear screening report for faster review and comparison.