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ResearchFormerly WizWand

WSI-level retrieval on PANDA (Public)

60MV@3 AccuracyMoCoV2-ResNet50
30.8838.444653.56Nov 14, 2023
Updated 8mo ago

Evaluation results

MethodLinks
MoCoV2-ResNet50Pre-training domain=Histopathology, Architecture type=CNN-based2023.1160
Barlow-Twins-ResNet50Pre-training domain=Histopathology, Architecture type=CNN-based2023.1158
PathDino-512Pre-training domain=Histopathology, Architecture type=Transformer, Resolution=5122023.1158
KimiaNetPre-training domain=Histopathology, Architecture type=CNN-based2023.1156
PLIPPre-training domain=Histopathology, Architecture type=Transformer2023.1155
iBOT-PathPre-training domain=Histopathology, Architecture type=Transformer2023.1153
PathDino-224Pre-training domain=Histopathology, Architecture type=Transformer, Resolution=2242023.1148
DinoSSLPathology-8Pre-training domain=Histopathology, Architecture type=Transformer2023.1147
DinoV1-ViT-b16Pre-training domain=Natural, Architecture type=Transformer2023.1139
EfficientNet-b5Pre-training domain=Natural, Architecture type=CNN-based2023.1138
DinoV1-ViT-s16Pre-training domain=Natural, Architecture type=Transformer2023.1138
CLIP-ViT-B/16Pre-training domain=Natural, Architecture type=Transformer2023.1138
ConvNext-b-224Pre-training domain=Natural, Architecture type=CNN-based, Resolution=2242023.1137
ConvNext-xlargePre-training domain=Natural, Architecture type=CNN-based2023.1137
MuDiPath-ResNet50Pre-training domain=Histopathology, Architecture type=CNN-based2023.1137
MuDiPath-DenseNet-101Pre-training domain=Histopathology, Architecture type=CNN-based2023.1137
BiomedCLIPPre-training domain=Histopathology, Architecture type=Transformer2023.1136
ResNet50Pre-training domain=Natural, Architecture type=CNN-based2023.1134
EfficientNet-b3-288Pre-training domain=Natural, Architecture type=CNN-based, Resolution=2882023.1133
ViT-b16-224Pre-training domain=Natural, Architecture type=Transformer, Resolution=2242023.1133
HIPT-ViT-s16Pre-training domain=Histopathology, Architecture type=Transformer2023.1133
DenseNet121Pre-training domain=Natural, Architecture type=CNN-based2023.1132
DinoV2-ViT-b14Pre-training domain=Natural, Architecture type=Transformer2023.1132