HyperAI

Suspicous Birads 45 No Suspicous Birads 123

Métriques

AUC

Résultats

Résultats de performance de divers modèles sur ce benchmark

Nom du modèle
AUC
Paper TitleRepository
WCCNet ResNet-500.931WDCCNet: Weighted Double-Classifier Constraint Neural Network for Mammographic Image Classification-
AlexNet0.79Deep Multi-instance Networks with Sparse Label Assignment for Whole Mammogram Classification
WCCNet VGG160.915WDCCNet: Weighted Double-Classifier Constraint Neural Network for Mammographic Image Classification-
WCCNet ResNet-180.913WDCCNet: Weighted Double-Classifier Constraint Neural Network for Mammographic Image Classification-
WCCNet ResNet-1010.926WDCCNet: Weighted Double-Classifier Constraint Neural Network for Mammographic Image Classification-
RGP DenseNet-1690.934Deep Neural Networks With Region-Based Pooling Structures for Mammographic Image Classification-
AlexNet+Max Pooling MIL0.83Deep Multi-instance Networks with Sparse Label Assignment for Whole Mammogram Classification
Pretrained CNN + Random Forest0.76Automated mass detection in mammograms using cascaded deep learning and random forests,-
Avg pooling DenseNet-1690.862Deep Neural Networks With Region-Based Pooling Structures for Mammographic Image Classification-
WCCNet AlexNet0.870WDCCNet: Weighted Double-Classifier Constraint Neural Network for Mammographic Image Classification-
Max pooling DenseNet-1690.837Deep Neural Networks With Region-Based Pooling Structures for Mammographic Image Classification-
WCCNet ResNet-340.923WDCCNet: Weighted Double-Classifier Constraint Neural Network for Mammographic Image Classification-
WCCNet DenseNet-1210.947WDCCNet: Weighted Double-Classifier Constraint Neural Network for Mammographic Image Classification-
AlexNet+Sparse MIL INbr. Auto.0.89Deep Multi-instance Networks with Sparse Label Assignment for Whole Mammogram Classification
AlexNet+Label Assign. MIL INbr. Auto.0.84Deep Multi-instance Networks with Sparse Label Assignment for Whole Mammogram Classification
GGP DenseNet-1690.922Deep Neural Networks With Region-Based Pooling Structures for Mammographic Image Classification-
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