From: Improving lesion detection in mammograms by leveraging a Cycle-GAN-based lesion remover
Model | Type | AUC on Test set | Diff. over base [95% CI] | p-value | |
---|---|---|---|---|---|
ResNet18 | Baseline | 0.914 | N/A | ||
Highlighted | 0.963 | 0.049 [0.036, 0.062] | < 0.0001* | ||
Combined | 0.963 | 0.050 [0.038, 0.061] | < 0.0001* | ||
DenseNet201 | Baseline | 0.966 | N/A | ||
Highlighted | 0.969 | 0.003 [-0.004, 0.010] | 0.426 | ||
Combined | 0.974 | 0.008 [0.004, 0.012] | < 0.001* | ||
EfficientNetV2 | Baseline | 0.96 | N/A | ||
Highlighted | 0.963 | 0.003 [-0.005, 0.011] | 0.476 | ||
Combined | 0.968 | 0.008 [0.004, 0.012] | < 0.001* | ||
ViT | Baseline | 0.967 | N/A | ||
Highlighted | 0.969 | 0.002 [-0.005, 0.009] | 0.553 | ||
Combined | 0.973 | 0.006 [0.003, 0.010] | < 0.001* |