WSI Classification on Private-CRC (Top-1 Macro avg F-1 score)
66Top-1 Macro F1MuDiPath-DenseNet-101
Evaluation Results
| Method | Links | |
|---|---|---|
| MuDiPath-DenseNet-101Pre-training Domain=Histopathology2023.11 | 66 | |
| iBOT-PathPre-training Domain=Histopathology2023.11 | 66 | |
| Barlow-Twins-ResNet50Pre-training Domain=Histopathology2023.11 | 65 | |
| PLIPPre-training Domain=Histopathology2023.11 | 65 | |
| MoCoV2-ResNet50Pre-training Domain=Histopathology2023.11 | 64 | |
| KimiaNetPre-training Domain=Histopathology2023.11 | 64 | |
| DinoSSLPathology-8Pre-training Domain=Histopathology2023.11 | 64 | |
| PathDino-512Pre-training Domain=Histopathology, Resolution=5122023.11 | 64 | |
| EfficientNet-b5Pre-training Domain=Natural2023.11 | 63 | |
| DinoV1-ViT-b16Pre-training Domain=Natural2023.11 | 61 | |
| PathDino-224Pre-training Domain=Histopathology, Resolution=2242023.11 | 61 | |
| EfficientNet-b3-288Pre-training Domain=Natural2023.11 | 60 | |
| ConvNext-b-224Pre-training Domain=Natural2023.11 | 60 | |
| ResNet50Pre-training Domain=Natural2023.11 | 58 | |
| ConvNext-xlargePre-training Domain=Natural2023.11 | 58 | |
| MuDiPath-ResNet50Pre-training Domain=Histopathology2023.11 | 58 | |
| BiomedCLIPPre-training Domain=Histopathology2023.11 | 57 | |
| HIPT-ViT-s16Pre-training Domain=Histopathology2023.11 | 57 | |
| DinoV2-ViT-b14Pre-training Domain=Natural2023.11 | 56 | |
| CLIP - ViT-B/16Pre-training Domain=Natural2023.11 | 56 | |
| DinoV1-ViT-s16Pre-training Domain=Natural2023.11 | 55 | |
| ViT-b16-224Pre-training Domain=Natural2023.11 | 50 | |
| DenseNet121Pre-training Domain=Natural2023.11 | 48 |