Image Classification on Brain Tumor MRI (test)
90.55Aggregated AccuracyFHE-resnet18
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| FHE-resnet18Encryption=FHE, Backbone=ResNet-182026.03 | 90.55 | — | 89 | |
| Standard-resnet18Encryption=Standard, Backbone=ResNet-182026.03 | 90.2 | 52.63 | 89 | |
| FHE-resnet18-qcnnEncryption=FHE, Backbone=ResNet-18, Quantum Layer Type=QCNN, Number of Clients=12026.03 | 76.86 | — | 75 | |
| FHE-resnet18-qnnEncryption=FHE, Backbone=ResNet-18, Quantum Layer Type=QNN2026.03 | 76.81 | — | 74 | |
| Standard-cnnEncryption=Standard, Backbone=CNN2026.03 | 72.54 | 65.55 | 71 | |
| FHE-cnnEncryption=FHE, Backbone=CNN2026.03 | 71.65 | — | 71 | |
| FHE-cnn-qnnEncryption=FHE, Backbone=CNN, Quantum Layer Type=QNN2026.03 | 70.78 | — | 69 | |
| FHE-cnn-qcnnEncryption=FHE, Backbone=CNN, Quantum Layer Type=QCNN2026.03 | 70.77 | — | 69 | |
| Standard-cnn-qnnEncryption=Standard, Backbone=CNN, Quantum Layer Type=QNN2026.03 | 68.63 | 61.05 | 67 | |
| Standard-cnn-qcnnEncryption=Standard, Backbone=CNN, Quantum Layer Type=QCNN2026.03 | 68.26 | 61.43 | 66 | |
| Standard-resnet18-qcnnEncryption=Standard, Backbone=ResNet-18, Quantum Layer Type=QCNN2026.03 | 66.65 | 39.48 | 62 | |
| Standard-resnet18-qnnEncryption=Standard, Backbone=ResNet-18, Quantum Layer Type=QNN2026.03 | 46 | 44.21 | 44 |