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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
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AUC
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Columns
Modellname
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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