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ResearchFormerly WizWand

WSI-level classification on Private-CRC (MV@5 Accuracy)

69MV@5 AccuracyPLIP
48.253.65964.4Nov 14, 2023
Updated 8mo ago

Evaluation results

MethodLinks
PLIPPre-training=Histopathology, Architecture=Transformer2023.1169
MuDiPath-DenseNet-101Pre-training=Histopathology, Architecture=CNN-based2023.1166
MoCoV2-ResNet50Pre-training=Histopathology, Architecture=CNN-based2023.1165
BiomedCLIPPre-training=Histopathology, Architecture=Transformer2023.1165
PathDino-512Pre-training=Histopathology, Architecture=Transformer, Input Resolution=5122023.1165
EfficientNet-b5Pre-training=Natural, Architecture=CNN-based2023.1164
Barlow-Twins-ResNet50Pre-training=Histopathology, Architecture=CNN-based2023.1164
ResNet50Pre-training=Natural, Architecture=CNN-based2023.1163
ConvNext-xlargePre-training=Natural, Architecture=CNN-based2023.1163
iBOT-PathPre-training=Histopathology, Architecture=Transformer2023.1163
DinoSSLPathology-8Pre-training=Histopathology, Architecture=Transformer2023.1163
DinoV1-ViT-b16Pre-training=Natural, Architecture=Transformer2023.1162
KimiaNetPre-training=Histopathology, Architecture=CNN-based2023.1162
DinoV1-ViT-s16Pre-training=Natural, Architecture=Transformer2023.1160
CLIP - ViT-B/16Pre-training=Natural, Architecture=Transformer2023.1160
EfficientNet-b3-288Pre-training=Natural, Architecture=CNN-based2023.1159
DinoV2-ViT-b14Pre-training=Natural, Architecture=Transformer2023.1159
ConvNext-b-224Pre-training=Natural, Architecture=CNN-based2023.1158
MuDiPath-ResNet50Pre-training=Histopathology, Architecture=CNN-based2023.1157
PathDino-224Pre-training=Histopathology, Architecture=Transformer, Input Resolution=2242023.1157
HIPT-ViT-s16Pre-training=Histopathology, Architecture=Transformer2023.1155
ViT-b16-224Pre-training=Natural, Architecture=Transformer2023.1154
DenseNet121Pre-training=Natural, Architecture=CNN-based2023.1149