🔬 OCT Classifier
- OCT classifier helps in detecting and diagnosing macular diseases with up to 79.6% accuracy.
- Choose a disease entity, view treatment recommendations, and streamline your plans.
- Focuses on predictive outcomes rather than extracting features or findings.
Overall Accuracy by Condition
- DME (Diabetic Macular Edema): 72.4%
- RVO (Retinal Vascular Occlusion): 85.3%
- AMD (Age-Related Macular Degeneration): 83.9%
- VMA (Vitreo-Macular Abnormalities): 80.7%
- Pachychoroid (CSCR & PCV): 78.6%
- HRD (Hereditary Retinal Diseases): 66.7%
Highlights
- RVO (85.3%): Outstanding detection of RVO- and RAO-related macular edema.
- AMD (83.9%): Reliable distinction between neovascular and non-neovascular AMD.
- VMA (80.7%): Strong performance, with most misses in very subtle cases.
- Pachychoroid (78.6%): Consistent accuracy; ongoing refinements will sharpen CSCR vs. PCV differentiation.
- DME (72.4%): Solid baseline accuracy; improvements targeting complex DME patterns are underway.
- HRD (66.7%): Good coverage of many hereditary conditions; focused updates aim to reduce subtype mix-ups.
