Diabetic Retinopathy Identification on Retina-MNIST (train)
80AccuracyLandman, Jonas, et al. (Quantum assisted neural network)
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| Landman, Jonas, et al. (Quantum assisted neural network)Learning Model=Quantum assisted, Non-FL, Objective=Quantum assisted neural network to identify DR, Resolution=28x28, Pre-processing=Dimension reduction using PCA2026.05 | 80 | — | — | — | |
| Landman, Jonas, et al. (Quantum orthogonal neural network)Learning Model=Quantum, Non-FL, Learnable Parameters=28, Objective=Quantum orthogonal neural network to identify DR, Resolution=28x28, Pre-processing=Dimension reduction using PCA2026.05 | 79 | — | — | — | |
| Proposed Federated QNNLearning Model=Quantum, FL, Learnable Parameters=15, Objective=To identify DR, Number of Training Images=234 fundus image patches, Resolution=7x6x3, Evaluation Platform=AWS Braket2026.05 | 75.61 | 75.68 | 71.94 | 75.48 |