Patch-Level Classification on Private-Breast (5-Fold CV)
88.57Macro F1 ScorePathDino
Evaluation Results
| Method | Links | |
|---|---|---|
| PathDinoPre-training Domain=Histopathology Data, Architecture=Transformer, Resolution=5122023.11 | 88.57 | |
| PathDino-512Resolution=512, Evaluation Protocol=5-fold CV2023.11 | 88.57 | |
| iBOT-PathPre-training Domain=Histopathology Data, Architecture=Transformer2023.11 | 85.12 | |
| iBOT-PathEvaluation Protocol=5-fold CV2023.11 | 85.12 | |
| SwAV-ResNet50Pre-training Domain=Histopathology Data, Architecture=CNN-based2023.11 | 78.23 | |
| PathDinoPre-training Domain=Histopathology Data, Architecture=Transformer, Resolution=2242023.11 | 78.06 | |
| PathDino-224Resolution=224, Evaluation Protocol=5-fold CV2023.11 | 78.06 | |
| DinoSSLPathology-8Pre-training Domain=Histopathology Data, Architecture=Transformer2023.11 | 77.59 | |
| DinoSSLPathology-8Evaluation Protocol=5-fold CV2023.11 | 77.59 | |
| KimiaNetPre-training Domain=Histopathology Data, Architecture=CNN-based2023.11 | 76.01 | |
| MoCoV2-ResNet50Pre-training Domain=Histopathology Data, Architecture=CNN-based2023.11 | 73.11 | |
| Barlow-Twins-ResNet50Pre-training Domain=Histopathology Data, Architecture=CNN-based2023.11 | 70.94 | |
| ConvNext-xlargePre-training Domain=Natural Data, Architecture=CNN-based2023.11 | 70.72 | |
| EfficientNet-b5Pre-training Domain=Natural Data, Architecture=CNN-based2023.11 | 70.41 | |
| ConvNext-b-224Pre-training Domain=Natural Data, Architecture=CNN-based, Resolution=2242023.11 | 65.02 | |
| DinoV1-ViT-b16Pre-training Domain=Natural Data, Architecture=Transformer2023.11 | 62.8 | |
| DinoV1-ViT-s16Pre-training Domain=Natural Data, Architecture=Transformer2023.11 | 60.57 | |
| ResNet50Pre-training Domain=Natural Data, Architecture=CNN-based2023.11 | 55.8 | |
| MuDiPath-DenseNet-101Pre-training Domain=Histopathology Data, Architecture=CNN-based2023.11 | 52.62 | |
| DenseNet121Pre-training Domain=Natural Data, Architecture=CNN-based2023.11 | 51.84 | |
| EfficientNet-b3-288Pre-training Domain=Natural Data, Architecture=CNN-based, Resolution=2882023.11 | 51.17 | |
| DinoV2-ViT-b14Pre-training Domain=Natural Data, Architecture=Transformer2023.11 | 51.16 | |
| CLIP - ViT-B/16Pre-training Domain=Natural Data, Architecture=Transformer2023.11 | 48.56 | |
| PLIPPre-training Domain=Histopathology Data, Architecture=Transformer2023.11 | 46.07 | |
| PLIPEvaluation Protocol=5-fold CV2023.11 | 46.07 | |
| MuDiPath-ResNet50Pre-training Domain=Histopathology Data, Architecture=CNN-based2023.11 | 45.79 | |
| ViT-b16-224Pre-training Domain=Natural Data, Architecture=Transformer, Resolution=2242023.11 | 43.44 | |
| HIPT-ViT-s16Pre-training Domain=Histopathology Data, Architecture=Transformer2023.11 | 43.08 | |
| HIPT-ViT-s16Evaluation Protocol=5-fold CV2023.11 | 43.08 | |
| BiomedCLIPPre-training Domain=Histopathology Data, Architecture=Transformer2023.11 | 38.82 | |
| BiomedCLIPEvaluation Protocol=5-fold CV2023.11 | 38.82 | |
| TransPathPre-training Domain=Histopathology Data, Architecture=Transformer2023.11 | 10.17 |