Whole Slide Image Retrieval on PANDA
60Macro F1 ScoreMoCoV2-ResNet50
Evaluation Results
| Method | Links | |
|---|---|---|
| MoCoV2-ResNet50Pre-training Domain=Histopathology, Architecture Category=CNN, MV@k=32023.11 | 60 | |
| Barlow-Twins-ResNet50Pre-training Domain=Histopathology, Architecture Category=CNN, MV@k=32023.11 | 59 | |
| PathDino-512Pre-training Domain=Histopathology, Architecture Category=Transformer, MV@k=3, Input Resolution=5122023.11 | 58 | |
| KimiaNetPre-training Domain=Histopathology, Architecture Category=CNN, MV@k=32023.11 | 56 | |
| PLIPPre-training Domain=Histopathology, Architecture Category=Transformer, MV@k=32023.11 | 54 | |
| iBOT-PathPre-training Domain=Histopathology, Architecture Category=Transformer, MV@k=32023.11 | 52 | |
| PathDino-224Pre-training Domain=Histopathology, Architecture Category=Transformer, MV@k=3, Input Resolution=2242023.11 | 46 | |
| DinoSSLPathology-8Pre-training Domain=Histopathology, Architecture Category=Transformer, MV@k=32023.11 | 45 | |
| EfficientNet-b5Pre-training Domain=Natural, Architecture Category=CNN, MV@k=32023.11 | 35 | |
| DinoV1-ViT-b16Pre-training Domain=Natural, Architecture Category=Transformer, MV@k=32023.11 | 35 | |
| CLIP - ViT-B/16Pre-training Domain=Natural, Architecture Category=Transformer, MV@k=32023.11 | 35 | |
| ConvNext-xlargePre-training Domain=Natural, Architecture Category=CNN, MV@k=32023.11 | 34 | |
| DinoV1-ViT-s16Pre-training Domain=Natural, Architecture Category=Transformer, MV@k=32023.11 | 34 | |
| MuDiPath-DenseNet-101Pre-training Domain=Histopathology, Architecture Category=CNN, MV@k=32023.11 | 34 | |
| ConvNext-b-224Pre-training Domain=Natural, Architecture Category=CNN, MV@k=3, Input Resolution=2242023.11 | 33 | |
| MuDiPath-ResNet50Pre-training Domain=Histopathology, Architecture Category=CNN, MV@k=32023.11 | 33 | |
| BiomedCLIPPre-training Domain=Histopathology, Architecture Category=Transformer, MV@k=32023.11 | 33 | |
| ResNet50Pre-training Domain=Natural, Architecture Category=CNN, MV@k=32023.11 | 30 | |
| EfficientNet-b3-288Pre-training Domain=Natural, Architecture Category=CNN, MV@k=3, Input Resolution=2882023.11 | 30 | |
| HIPT-ViT-s16Pre-training Domain=Histopathology, Architecture Category=Transformer, MV@k=32023.11 | 30 | |
| ViT-b16-224Pre-training Domain=Natural, Architecture Category=Transformer, MV@k=3, Input Resolution=2242023.11 | 29 | |
| DinoV2-ViT-b14Pre-training Domain=Natural, Architecture Category=Transformer, MV@k=32023.11 | 29 | |
| DenseNet121Pre-training Domain=Natural, Architecture Category=CNN, MV@k=32023.11 | 28 |