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Paper Title
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Virchow
0.933
Virchow: A Million-Slide Digital Pathology Foundation Model
Steerable G-CNN (e)
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Learning Steerable Filters for Rotation Equivariant CNNs
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VF-CNN (C8)
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Rotation equivariant vector field networks
ResNet-34 (e)
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Deep Residual Learning for Image Recognition
G-CNN (C4)
-
Group Equivariant Convolutional Networks
DenseNet-121 (e)
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Densely Connected Convolutional Networks
G-CNN (C8)
-
Roto-Translation Equivariant Convolutional Networks: Application to Histopathology Image Analysis
VF-CNN (C12)
-
Rotation equivariant vector field networks
VF-CNN (C4)
-
Rotation equivariant vector field networks
Steerable G-CNN (C8)
-
Learning Steerable Filters for Rotation Equivariant CNNs
-
ResNet-50 (e)
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Deep Residual Learning for Image Recognition
p4m-DenseNet (D4)
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Rotation Equivariant CNNs for Digital Pathology
Steerable G-CNN (C8)
-
Learning Steerable Filters for Rotation Equivariant CNNs
-
Steerable G-CNN (C12)
-
Learning Steerable Filters for Rotation Equivariant CNNs
-
G-CNN (C12)
-
Roto-Translation Equivariant Convolutional Networks: Application to Histopathology Image Analysis
DSF-CNN (C8)
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Dense Steerable Filter CNNs for Exploiting Rotational Symmetry in Histology Images
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