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SotA/Medical/Breast Tumour Classification/PCam

Breast Tumour Classification on PCam

Metric: AUC (higher is better)

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Results

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#Model↕AUC▼Extra DataPaperDate↕Code
1DSF-CNN (C8)0.975NoDense Steerable Filter CNNs for Exploiting Rotat...2020-04-06Code
2Steerable G-CNN (C8)0.971NoLearning Steerable Filters for Rotation Equivari...2017-11-20-
3Steerable G-CNN (C8)0.969NoLearning Steerable Filters for Rotation Equivari...2017-11-20-
4Steerable G-CNN (C12)0.969NoLearning Steerable Filters for Rotation Equivari...2017-11-20-
5G-CNN (C8)0.968NoRoto-Translation Equivariant Convolutional Netwo...2020-02-20Code
6G-CNN (C4)0.964NoGroup Equivariant Convolutional Networks2016-02-24Code
7Steerable G-CNN (e)0.963NoLearning Steerable Filters for Rotation Equivari...2017-11-20-
8p4m-DenseNet (D4)0.963NoRotation Equivariant CNNs for Digital Pathology2018-06-08Code
9G-CNN (C12)0.962NoRoto-Translation Equivariant Convolutional Netwo...2020-02-20Code
10ResNet-50 (e)0.948NoDeep Residual Learning for Image Recognition2015-12-10Code
11ResNet-34 (e)0.942NoDeep Residual Learning for Image Recognition2015-12-10Code
12DenseNet-121 (e)0.921NoDensely Connected Convolutional Networks2016-08-25Code
13VF-CNN (C12)0.898NoRotation equivariant vector field networks2016-12-29Code
14VF-CNN (C8)0.881NoRotation equivariant vector field networks2016-12-29Code
15VF-CNN (C4)0.871NoRotation equivariant vector field networks2016-12-29Code