Medical Image Classification on Coronary Angiography (test)
98.33AccuracySDA-QEC
Evaluation results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| SDA-QECArchitecture=Quantum-Enhanced Classification with Diffusion Augmentation2026.01 | 98.33 | 98.33 | 98.33 | 98.33 | 98.33 | 98.78 | |
| ResNet18Architecture=ResNet-182026.01 | 95 | 93.94 | 96.67 | 91.67 | 94.99 | 98.44 | |
| MobileNetV2Architecture=MobileNetV22026.01 | 84.17 | 89.55 | 80 | 88.33 | 84.48 | 92.72 | |
| DenseNet121Architecture=DenseNet1212026.01 | 80.83 | 95.24 | 66.67 | 95 | 78.43 | 95.06 | |
| VGG16Architecture=VGG162026.01 | 60.83 | 56.1 | 100 | 21.67 | 71.91 | 81.19 |