Binary Classification on Breast Ultrasound Dataset (test)
96.33AccuracyCSA-MoE-Net
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| CSA-MoE-NetBackbone=ResNet-18, Pre-trained weights=ImageNet1K-V1, Epochs=30, Batch size=32, Optimizer=Adam, Input Resolution=224x224, Initial Learning Rate=5e-52026.05 | 96.33 | 94.09 | 98.53 | 96.25 | 99.5 |