Retinal Layer Analysis & Dataset Curation
Analyze retinal layer thickness and curate high-precision datasets from OCT scans
Features Included:
- Layer-by-layer measurement
- Interactive column selection
- Real-time visualization
Retinal Thickness Analysis
Measure and analyze retinal layer thickness from OCT scans. Get precise measurements in microns with interactive visualization.
Features Included:
- Pre-op vs Post-op comparison
- 3-range thickness averaging
- Automated layer segmentation
Operation Success Rate
Compare pre-operative and post-operative OCT scans to evaluate surgical outcomes through retinal thickness analysis.
Features Included:
- Pre-op vs Reference comparison
- Overlay thickness graph
- Error percentage per range
Error Rate Analysis
Compare pre-operative OCT against a reference image to measure prediction error with overlay thickness graphs.
Features Included:
- Left panel preprocessing
- Boundary contour detection
- Overlayed trace result
Macular Hole Segmentation
Preprocess and segment macular hole boundaries from OCT scans with a dedicated boundary detection workflow.
Features Included:
- Column-wise intensity extraction
- Intensity vs Depth profiles
- High-precision pixel analysis
Dataset Creation
Extract specific column profiles and intensity data for dataset curation. Analyze pixel intensity variations across retinal depths.
All analyses are performed locally with AI models trained on validated datasets