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ResearchFormerly WizWand

WSI-level retrieval on CAMELYON16 (Public)

78MV@3 AccuracyKimiaNet
57.262.66873.4Nov 14, 2023
Updated 8mo ago

Evaluation results

MethodLinks
KimiaNetPre-training domain=Histopathology, Architecture type=CNN-based2023.1178
PathDino-512Pre-training domain=Histopathology, Architecture type=Transformer, Resolution=5122023.1178
PLIPPre-training domain=Histopathology, Architecture type=Transformer2023.1177
PathDino-224Pre-training domain=Histopathology, Architecture type=Transformer, Resolution=2242023.1174
iBOT-PathPre-training domain=Histopathology, Architecture type=Transformer2023.1171
Barlow-Twins-ResNet50Pre-training domain=Histopathology, Architecture type=CNN-based2023.1170
DinoV1-ViT-b16Pre-training domain=Natural, Architecture type=Transformer2023.1169
MoCoV2-ResNet50Pre-training domain=Histopathology, Architecture type=CNN-based2023.1169
ConvNext-b-224Pre-training domain=Natural, Architecture type=CNN-based, Resolution=2242023.1168
MuDiPath-DenseNet-101Pre-training domain=Histopathology, Architecture type=CNN-based2023.1168
DinoSSLPathology-8Pre-training domain=Histopathology, Architecture type=Transformer2023.1168
DenseNet121Pre-training domain=Natural, Architecture type=CNN-based2023.1167
ViT-b16-224Pre-training domain=Natural, Architecture type=Transformer, Resolution=2242023.1167
DinoV1-ViT-s16Pre-training domain=Natural, Architecture type=Transformer2023.1167
CLIP-ViT-B/16Pre-training domain=Natural, Architecture type=Transformer2023.1167
MuDiPath-ResNet50Pre-training domain=Histopathology, Architecture type=CNN-based2023.1167
BiomedCLIPPre-training domain=Histopathology, Architecture type=Transformer2023.1167
ConvNext-xlargePre-training domain=Natural, Architecture type=CNN-based2023.1165
HIPT-ViT-s16Pre-training domain=Histopathology, Architecture type=Transformer2023.1164
EfficientNet-b5Pre-training domain=Natural, Architecture type=CNN-based2023.1162
ResNet50Pre-training domain=Natural, Architecture type=CNN-based2023.1160
EfficientNet-b3-288Pre-training domain=Natural, Architecture type=CNN-based, Resolution=2882023.1160
DinoV2-ViT-b14Pre-training domain=Natural, Architecture type=Transformer2023.1158