WSI Classification on Private-Liver
0.74Top-1 Macro F1iBOT-Path
Evaluation Results
| Method | Links | |
|---|---|---|
| iBOT-PathPre-training Domain=Histopathology, Architecture=Transformer2023.11 | 0.74 | |
| PathDino-512Pre-training Domain=Histopathology, Architecture=Transformer, Resolution=5122023.11 | 0.74 | |
| KimiaNetPre-training Domain=Histopathology, Architecture=CNN-based2023.11 | 0.66 | |
| MoCoV2-ResNet50Pre-training Domain=Histopathology, Architecture=CNN-based2023.11 | 0.63 | |
| ConvNext-b-224Pre-training Domain=Natural, Architecture=CNN-based, Resolution=2242023.11 | 0.61 | |
| PLIPPre-training Domain=Histopathology, Architecture=Transformer2023.11 | 0.6 | |
| PathDino-224Pre-training Domain=Histopathology, Architecture=Transformer, Resolution=2242023.11 | 0.6 | |
| DinoV1-ViT-b16Pre-training Domain=Natural, Architecture=Transformer2023.11 | 0.59 | |
| MuDiPath-ResNet50Pre-training Domain=Histopathology, Architecture=CNN-based2023.11 | 0.57 | |
| Barlow-Twins-ResNet50Pre-training Domain=Histopathology, Architecture=CNN-based2023.11 | 0.56 | |
| DinoSSLPathology-8Pre-training Domain=Histopathology, Architecture=Transformer2023.11 | 0.54 | |
| EfficientNet-b5Pre-training Domain=Natural, Architecture=CNN-based2023.11 | 0.52 | |
| ConvNext-xlargePre-training Domain=Natural, Architecture=CNN-based2023.11 | 0.52 | |
| DinoV1-ViT-s16Pre-training Domain=Natural, Architecture=Transformer2023.11 | 0.52 | |
| ViT-b16-224Pre-training Domain=Natural, Architecture=Transformer, Resolution=2242023.11 | 0.51 | |
| MuDiPath-DenseNet-101Pre-training Domain=Histopathology, Architecture=CNN-based2023.11 | 0.5 | |
| BiomedCLIPPre-training Domain=Histopathology, Architecture=Transformer2023.11 | 0.5 | |
| ResNet50Pre-training Domain=Natural, Architecture=CNN-based2023.11 | 0.49 | |
| EfficientNet-b3-288Pre-training Domain=Natural, Architecture=CNN-based, Resolution=2882023.11 | 0.49 | |
| DinoV2-ViT-b14Pre-training Domain=Natural, Architecture=Transformer2023.11 | 0.49 | |
| CLIP - ViT-B/16Pre-training Domain=Natural, Architecture=Transformer2023.11 | 0.46 | |
| HIPT-ViT-s16Pre-training Domain=Histopathology, Architecture=Transformer2023.11 | 0.46 | |
| DenseNet121Pre-training Domain=Natural, Architecture=CNN-based2023.11 | 0.44 |