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WSI-level classification on Private-Liver (internal)

85MV@5 AccuracyPathDino-512
67.3271.9176.581.09Nov 14, 2023

Evaluation results

MethodLinks
PathDino-512Pre-training=Histopathology, Architecture=Transformer, Input Resolution=5122023.1185
MoCoV2-ResNet50Pre-training=Histopathology, Architecture=CNN-based2023.1182
iBOT-PathPre-training=Histopathology, Architecture=Transformer2023.1182
Barlow-Twins-ResNet50Pre-training=Histopathology, Architecture=CNN-based2023.1179
ConvNext-xlargePre-training=Natural, Architecture=CNN-based2023.1178
DinoV1-ViT-b16Pre-training=Natural, Architecture=Transformer2023.1178
KimiaNetPre-training=Histopathology, Architecture=CNN-based2023.1178
BiomedCLIPPre-training=Histopathology, Architecture=Transformer2023.1177
DinoSSLPathology-8Pre-training=Histopathology, Architecture=Transformer2023.1177
DinoV1-ViT-s16Pre-training=Natural, Architecture=Transformer2023.1176
PLIPPre-training=Histopathology, Architecture=Transformer2023.1176
PathDino-224Pre-training=Histopathology, Architecture=Transformer, Input Resolution=2242023.1176
ConvNext-b-224Pre-training=Natural, Architecture=CNN-based2023.1173
MuDiPath-ResNet50Pre-training=Histopathology, Architecture=CNN-based2023.1173
ViT-b16-224Pre-training=Natural, Architecture=Transformer2023.1172
DinoV2-ViT-b14Pre-training=Natural, Architecture=Transformer2023.1172
MuDiPath-DenseNet-101Pre-training=Histopathology, Architecture=CNN-based2023.1172
ResNet50Pre-training=Natural, Architecture=CNN-based2023.1171
CLIP - ViT-B/16Pre-training=Natural, Architecture=Transformer2023.1171
DenseNet121Pre-training=Natural, Architecture=CNN-based2023.1170
EfficientNet-b5Pre-training=Natural, Architecture=CNN-based2023.1170
EfficientNet-b3-288Pre-training=Natural, Architecture=CNN-based2023.1168
HIPT-ViT-s16Pre-training=Histopathology, Architecture=Transformer2023.1168