Gallbladder Cancer Detection on Gallbladder Cancer Ultrasound (GBC-US) (5-fold cross-val)
96.4AccuracyFocusMAE
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| FocusMAEGroup=Video-based, Backbone=Transformer2024.03 | 96.4 | 91 | 100 | |
| GLCM-MAE2025.07 | 94.9 | 95.7 | 93.4 | |
| AdaMAEGroup=Video-based, Backbone=Transformer2024.03 | 94.7 | 95.2 | 91.3 | |
| VideoMAEv2Group=Video-based, Backbone=Transformer2024.03 | 94.2 | 93.7 | 94 | |
| MAE2025.07 | 92.8 | 93.7 | 92.1 | |
| Video-SwinGroup=Video-based, Backbone=Transformer2024.03 | 92.5 | 100 | 90.3 | |
| VidTrGroup=Video-based, Backbone=Transformer2024.03 | 92.4 | 100 | 80 | |
| GBCNet2025.07 | 92.1 | 96.7 | 91.9 | |
| US-USCL2025.07 | 92.1 | 92.6 | 90 | |
| RadFormer2025.07 | 92.1 | 96.1 | 92.3 | |
| TimeSformerGroup=Video-based, Backbone=Transformer2024.03 | 92 | 96.7 | 90.9 | |
| Radiologist BGroup=Human Experts2024.03 | 87.4 | 100 | 81.1 | |
| ResNet502025.07 | 86.7 | 92.6 | 67.2 | |
| OmniMAE2025.07 | 85.5 | 92.7 | 62.1 | |
| InceptionV32025.07 | 84.4 | 95.3 | 80.7 | |
| GBCNetGroup=Image-based, Backbone=CNN2024.03 | 84 | 84.3 | 84.3 | |
| RadFormerGroup=Image-based, Backbone=Transformer2024.03 | 84 | 77.6 | 87.7 | |
| PVTv2Group=Image-based, Backbone=Transformer2024.03 | 83.1 | 85.7 | 83.4 | |
| DEIT2025.07 | 82.9 | 90 | 87.5 | |
| DEITGroup=Image-based, Backbone=Transformer2024.03 | 82.9 | 78.7 | 84.5 | |
| PVTv22025.07 | 82.4 | 88.7 | 89.4 | |
| US-UCLGroup=Image-based, Backbone=CNN2024.03 | 80.8 | 87.1 | 77.6 | |
| ViT2025.07 | 80.3 | 90.1 | 86 | |
| ViTGroup=Image-based, Backbone=Transformer2024.03 | 79.6 | 75.1 | 82 | |
| EfficientDetGroup=Image-based, Backbone=CNN2024.03 | 78.9 | 76.1 | 82.8 | |
| Radiologist AGroup=Human Experts2024.03 | 78.6 | 100 | 67.2 | |
| Faster-RCNNGroup=Image-based, Backbone=CNN2024.03 | 75.7 | 68.7 | 80.8 | |
| RetinaNet2025.07 | 74.9 | 86.7 | 79.1 | |
| EfficientDet2025.07 | 73.9 | 88.1 | 85.8 | |
| InceptionV3Group=Image-based, Backbone=CNN2024.03 | 73.4 | 95.3 | 64.7 | |
| ResNet50Group=Image-based, Backbone=CNN2024.03 | 71.1 | 82.2 | 67.2 | |
| VGG162025.07 | 69.3 | 96 | 49.5 |