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SOTA
Cancer No Cancer Per Image Classification
Cancer No Cancer Per Image Classification On
Cancer No Cancer Per Image Classification On
评估指标
AUC
评测结果
各个模型在此基准测试上的表现结果
Columns
模型名称
AUC
Paper Title
Repository
SingleView_PatchBased_EfficientNet-B0
0.8033
Breast Cancer Diagnosis in Two-View Mammography Using End-to-End Trained EfficientNet-Based Convolutional Network
VGG/ResNet
0.75
Breast Cancer Diagnosis in Two-View Mammography Using End-to-End Trained EfficientNet-Based Convolutional Network
ResNet18_S896
0.7958
Beyond Fine-tuning: Classifying High Resolution Mammograms using Function-Preserving Transformations
-
MorphHR-ResNet18_S224
0.7523
Beyond Fine-tuning: Classifying High Resolution Mammograms using Function-Preserving Transformations
-
Patch-based DenseNet-121
0.784
Exploiting Patch Sizes and Resolutions for Multi-Scale Deep Learning in Mammogram Image Classification
-
VGG/ResNet
0.75
Deep Learning to Improve Breast Cancer Early Detection on Screening Mammography
SingleView_PatchBased_EfficientNet-B3
0.7952
Breast Cancer Diagnosis in Two-View Mammography Using End-to-End Trained EfficientNet-Based Convolutional Network
Multi-patch size DenseNet-121
0.809
Exploiting Patch Sizes and Resolutions for Multi-Scale Deep Learning in Mammogram Image Classification
-
VGG16
0.6822
Machine Learning Algorithms for Breast Cancer Detection in Mammography Images: A Comparative Study
-
ResNet18_S224
0.7257
Beyond Fine-tuning: Classifying High Resolution Mammograms using Function-Preserving Transformations
-
MorphHR-ResNet18_S896
0.7964
Beyond Fine-tuning: Classifying High Resolution Mammograms using Function-Preserving Transformations
-
ResNet18_S448
0.7882
Beyond Fine-tuning: Classifying High Resolution Mammograms using Function-Preserving Transformations
-
Feature Pyramid Network DenseNet-121
0.788
Exploiting Patch Sizes and Resolutions for Multi-Scale Deep Learning in Mammogram Image Classification
-
MorphHR-ResNet18_S448
0.7836
Beyond Fine-tuning: Classifying High Resolution Mammograms using Function-Preserving Transformations
-
XGBoost
0.6849
Machine Learning Algorithms for Breast Cancer Detection in Mammography Images: A Comparative Study
-
Multi-resolution DenseNet-121
0.789
Exploiting Patch Sizes and Resolutions for Multi-Scale Deep Learning in Mammogram Image Classification
-
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