Diabetic Retinopathy Identification on E-ophtha (train)
89.74AccuracyProposed Federated QNN
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| Proposed Federated QNNLearning Model=Quantum, FL, Learnable Parameters=15, Objective=A FL and QNN based approach to identify DR, Resolution=7x6x3, Pre-processing=Patch extraction from retinal images, Evaluation Platform=AWS Braket2026.05 | 89.74 | 96.77 | 81.08 | 89.57 |