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ResearchFormerly WizWand

WSI-level retrieval on Private-Liver internal (test)

76Macro F1 ScoreiBOT-Path
43.7652.1360.568.87Nov 14, 2023
Updated 8mo ago

Evaluation results

MethodLinks
iBOT-PathPre-training Domain=Histopathology, Architecture Category=Transformer, MV@k=32023.1176
PathDino-512Pre-training Data Domain=Histopathology, Model Architecture Type=Transformer, Resolution=512, Majority Vote Top-k=MV@52023.1174
PathDino-512Pre-training Domain=Histopathology, Architecture Category=Transformer, MV@k=3, Input Resolution=5122023.1174
iBOT-PathPre-training Data Domain=Histopathology, Model Architecture Type=Transformer, Majority Vote Top-k=MV@52023.1172
MoCoV2-ResNet50Pre-training Domain=Histopathology, Architecture Category=CNN, MV@k=32023.1171
Barlow-Twins-ResNet50Pre-training Data Domain=Histopathology, Model Architecture Type=CNN-based, Majority Vote Top-k=MV@52023.1167
PLIPPre-training Data Domain=Histopathology, Model Architecture Type=Transformer, Majority Vote Top-k=MV@52023.1167
MoCoV2-ResNet50Pre-training Data Domain=Histopathology, Model Architecture Type=CNN-based, Majority Vote Top-k=MV@52023.1166
DinoV1-ViT-b16Pre-training Domain=Natural, Architecture Category=Transformer, MV@k=32023.1166
DinoSSLPathology-8Pre-training Domain=Histopathology, Architecture Category=Transformer, MV@k=32023.1166
PathDino-224Pre-training Data Domain=Histopathology, Model Architecture Type=Transformer, Resolution=224, Majority Vote Top-k=MV@52023.1165
Barlow-Twins-ResNet50Pre-training Domain=Histopathology, Architecture Category=CNN, MV@k=32023.1163
PLIPPre-training Domain=Histopathology, Architecture Category=Transformer, MV@k=32023.1163
DinoSSLPathology-8Pre-training Data Domain=Histopathology, Model Architecture Type=Transformer, Majority Vote Top-k=MV@52023.1162
KimiaNetPre-training Domain=Histopathology, Architecture Category=CNN, MV@k=32023.1162
KimiaNetPre-training Data Domain=Histopathology, Model Architecture Type=CNN-based, Majority Vote Top-k=MV@52023.1161
ConvNext-b-224Pre-training Domain=Natural, Architecture Category=CNN, MV@k=3, Input Resolution=2242023.1160
PathDino-224Pre-training Domain=Histopathology, Architecture Category=Transformer, MV@k=3, Input Resolution=2242023.1160
DinoV1-ViT-b16Pre-training Data Domain=Natural, Model Architecture Type=Transformer, Majority Vote Top-k=MV@52023.1157
BiomedCLIPPre-training Data Domain=Histopathology, Model Architecture Type=Transformer, Majority Vote Top-k=MV@52023.1156
ConvNext-xlargePre-training Domain=Natural, Architecture Category=CNN, MV@k=32023.1156
EfficientNet-b5Pre-training Domain=Natural, Architecture Category=CNN, MV@k=32023.1155
DinoV1-ViT-s16Pre-training Domain=Natural, Architecture Category=Transformer, MV@k=32023.1154
DinoV2-ViT-b14Pre-training Domain=Natural, Architecture Category=Transformer, MV@k=32023.1154
ConvNext-xlargePre-training Data Domain=Natural, Model Architecture Type=CNN-based, Majority Vote Top-k=MV@52023.1153
DinoV2-ViT-b14Pre-training Data Domain=Natural, Model Architecture Type=Transformer, Majority Vote Top-k=MV@52023.1153
MuDiPath-DenseNet-101Pre-training Domain=Histopathology, Architecture Category=CNN, MV@k=32023.1153
BiomedCLIPPre-training Domain=Histopathology, Architecture Category=Transformer, MV@k=32023.1153
DinoV1-ViT-s16Pre-training Data Domain=Natural, Model Architecture Type=Transformer, Majority Vote Top-k=MV@52023.1152
CLIP - ViT-B/16Pre-training Data Domain=Natural, Model Architecture Type=Transformer, Majority Vote Top-k=MV@52023.1152
EfficientNet-b3-288Pre-training Data Domain=Natural, Model Architecture Type=CNN-based, Resolution=288, Majority Vote Top-k=MV@52023.1150
ConvNext-b-224Pre-training Data Domain=Natural, Model Architecture Type=CNN-based, Resolution=224, Majority Vote Top-k=MV@52023.1150
EfficientNet-b3-288Pre-training Domain=Natural, Architecture Category=CNN, MV@k=3, Input Resolution=2882023.1150
MuDiPath-ResNet50Pre-training Domain=Histopathology, Architecture Category=CNN, MV@k=32023.1150
ViT-b16-224Pre-training Data Domain=Natural, Model Architecture Type=Transformer, Resolution=224, Majority Vote Top-k=MV@52023.1149
MuDiPath-ResNet50Pre-training Data Domain=Histopathology, Model Architecture Type=CNN-based, Majority Vote Top-k=MV@52023.1149
MuDiPath-DenseNet-101Pre-training Data Domain=Histopathology, Model Architecture Type=CNN-based, Majority Vote Top-k=MV@52023.1149
ResNet50Pre-training Domain=Natural, Architecture Category=CNN, MV@k=32023.1149
DenseNet121Pre-training Domain=Natural, Architecture Category=CNN, MV@k=32023.1149
ResNet50Pre-training Data Domain=Natural, Model Architecture Type=CNN-based, Majority Vote Top-k=MV@52023.1148
ViT-b16-224Pre-training Domain=Natural, Architecture Category=Transformer, MV@k=3, Input Resolution=2242023.1148
DenseNet121Pre-training Data Domain=Natural, Model Architecture Type=CNN-based, Majority Vote Top-k=MV@52023.1147
EfficientNet-b5Pre-training Data Domain=Natural, Model Architecture Type=CNN-based, Majority Vote Top-k=MV@52023.1147
CLIP - ViT-B/16Pre-training Domain=Natural, Architecture Category=Transformer, MV@k=32023.1147
HIPT-ViT-s16Pre-training Data Domain=Histopathology, Model Architecture Type=Transformer, Majority Vote Top-k=MV@52023.1146
HIPT-ViT-s16Pre-training Domain=Histopathology, Architecture Category=Transformer, MV@k=32023.1145