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ResearchFormerly WizWand

WSI-level classification on BRACS (MV@5 Accuracy)

67MV@5 AccuracyPathDino-512
55.5658.5361.564.47Nov 14, 2023
Updated 8mo ago

Evaluation results

MethodLinks
PathDino-512Pre-training=Histopathology, Architecture=Transformer, Input Resolution=5122023.1167
Barlow-Twins-ResNet50Pre-training=Histopathology, Architecture=CNN-based2023.1166
KimiaNetPre-training=Histopathology, Architecture=CNN-based2023.1166
iBOT-PathPre-training=Histopathology, Architecture=Transformer2023.1165
ConvNext-xlargePre-training=Natural, Architecture=CNN-based2023.1164
DinoV1-ViT-b16Pre-training=Natural, Architecture=Transformer2023.1164
MoCoV2-ResNet50Pre-training=Histopathology, Architecture=CNN-based2023.1164
PLIPPre-training=Histopathology, Architecture=Transformer2023.1164
DinoSSLPathology-8Pre-training=Histopathology, Architecture=Transformer2023.1164
PathDino-224Pre-training=Histopathology, Architecture=Transformer, Input Resolution=2242023.1164
DinoV1-ViT-s16Pre-training=Natural, Architecture=Transformer2023.1163
ConvNext-b-224Pre-training=Natural, Architecture=CNN-based2023.1162
EfficientNet-b5Pre-training=Natural, Architecture=CNN-based2023.1161
CLIP - ViT-B/16Pre-training=Natural, Architecture=Transformer2023.1161
BiomedCLIPPre-training=Histopathology, Architecture=Transformer2023.1161
ResNet50Pre-training=Natural, Architecture=CNN-based2023.1160
MuDiPath-DenseNet-101Pre-training=Histopathology, Architecture=CNN-based2023.1160
DenseNet121Pre-training=Natural, Architecture=CNN-based2023.1158
ViT-b16-224Pre-training=Natural, Architecture=Transformer2023.1158
EfficientNet-b3-288Pre-training=Natural, Architecture=CNN-based2023.1157
DinoV2-ViT-b14Pre-training=Natural, Architecture=Transformer2023.1156
MuDiPath-ResNet50Pre-training=Histopathology, Architecture=CNN-based2023.1156
HIPT-ViT-s16Pre-training=Histopathology, Architecture=Transformer2023.1156