Patch-Level Classification on Private-Breast
89.92AccuracyPathDino-512
Evaluation Results
| Method | Links | |
|---|---|---|
| PathDino-512Pre-training Domain=Histopathology Data, Architecture Category=Transformer, Evaluation Protocol=5-Fold Cross-Validation, Input Resolution=512x5122023.11 | 89.92 | |
| iBOT-PathPre-training Domain=Histopathology Data, Architecture Category=Transformer, Evaluation Protocol=5-Fold Cross-Validation2023.11 | 86.92 | |
| DinoSSLPathology-8Pre-training Domain=Histopathology Data, Architecture Category=Transformer, Evaluation Protocol=5-Fold Cross-Validation2023.11 | 81.06 | |
| MoCoV2-ResNet50Pre-training Domain=Histopathology Data, Architecture Category=CNN-based, Evaluation Protocol=5-Fold Cross-Validation2023.11 | 79.59 | |
| PathDino-224Pre-training Domain=Histopathology Data, Architecture Category=Transformer, Evaluation Protocol=5-Fold Cross-Validation, Input Resolution=224x2242023.11 | 79.24 | |
| KimiaNetPre-training Domain=Histopathology Data, Architecture Category=CNN-based, Evaluation Protocol=5-Fold Cross-Validation2023.11 | 77.03 | |
| ConvNext-xlargePre-training Domain=Natural Data, Architecture Category=CNN-based, Evaluation Protocol=5-Fold Cross-Validation2023.11 | 76.88 | |
| Barlow-Twins-ResNet50Pre-training Domain=Histopathology Data, Architecture Category=CNN-based, Evaluation Protocol=5-Fold Cross-Validation2023.11 | 76.15 | |
| EfficientNet-b5Pre-training Domain=Natural Data, Architecture Category=CNN-based, Evaluation Protocol=5-Fold Cross-Validation2023.11 | 75.31 | |
| ConvNext-b-224Pre-training Domain=Natural Data, Architecture Category=CNN-based, Evaluation Protocol=5-Fold Cross-Validation, Input Resolution=224x2242023.11 | 73.24 | |
| DinoV1-ViT-b16Pre-training Domain=Natural Data, Architecture Category=Transformer, Evaluation Protocol=5-Fold Cross-Validation2023.11 | 67.54 | |
| DinoV1-ViT-s16Pre-training Domain=Natural Data, Architecture Category=Transformer, Evaluation Protocol=5-Fold Cross-Validation2023.11 | 66.85 | |
| ResNet50Pre-training Domain=Natural Data, Architecture Category=CNN-based, Evaluation Protocol=5-Fold Cross-Validation2023.11 | 62.86 | |
| DinoV2-ViT-b14Pre-training Domain=Natural Data, Architecture Category=Transformer, Evaluation Protocol=5-Fold Cross-Validation2023.11 | 59.91 | |
| EfficientNet-b3-288Pre-training Domain=Natural Data, Architecture Category=CNN-based, Evaluation Protocol=5-Fold Cross-Validation, Input Resolution=288x2882023.11 | 57.99 | |
| DenseNet121Pre-training Domain=Natural Data, Architecture Category=CNN-based, Evaluation Protocol=5-Fold Cross-Validation2023.11 | 57.75 | |
| PLIPPre-training Domain=Histopathology Data, Architecture Category=Transformer, Evaluation Protocol=5-Fold Cross-Validation2023.11 | 56.66 | |
| CLIP - ViT-B/16Pre-training Domain=Natural Data, Architecture Category=Transformer, Evaluation Protocol=5-Fold Cross-Validation2023.11 | 55.04 | |
| MuDiPath-DenseNet-101Pre-training Domain=Histopathology Data, Architecture Category=CNN-based, Evaluation Protocol=5-Fold Cross-Validation2023.11 | 54.06 | |
| ViT-b16-224Pre-training Domain=Natural Data, Architecture Category=Transformer, Evaluation Protocol=5-Fold Cross-Validation, Input Resolution=224x2242023.11 | 53.27 | |
| MuDiPath-ResNet50Pre-training Domain=Histopathology Data, Architecture Category=CNN-based, Evaluation Protocol=5-Fold Cross-Validation2023.11 | 53.08 | |
| HIPT-ViT-s16Pre-training Domain=Histopathology Data, Architecture Category=Transformer, Evaluation Protocol=5-Fold Cross-Validation2023.11 | 53.07 | |
| BiomedCLIPPre-training Domain=Histopathology Data, Architecture Category=Transformer, Evaluation Protocol=5-Fold Cross-Validation2023.11 | 50.76 | |
| TransPathPre-training Domain=Histopathology Data, Architecture Category=Transformer, Evaluation Protocol=5-Fold Cross-Validation2023.11 | 20.12 |