Cancer No Cancer Per Image Classification On

Metrics

AUC

Results

Performance results of various models on this benchmark

		Paper Title
Multi-patch size DenseNet-121	0.809	Exploiting Patch Sizes and Resolutions for Multi-Scale Deep Learning in Mammogram Image Classification
SingleView_PatchBased_EfficientNet-B0	0.8033	Breast Cancer Diagnosis in Two-View Mammography Using End-to-End Trained EfficientNet-Based Convolutional Network
MorphHR-ResNet18_S896	0.7964	Beyond Fine-tuning: Classifying High Resolution Mammograms using Function-Preserving Transformations
ResNet18_S896	0.7958	Beyond Fine-tuning: Classifying High Resolution Mammograms using Function-Preserving Transformations
SingleView_PatchBased_EfficientNet-B3	0.7952	Breast Cancer Diagnosis in Two-View Mammography Using End-to-End Trained EfficientNet-Based Convolutional Network
Multi-resolution DenseNet-121	0.789	Exploiting Patch Sizes and Resolutions for Multi-Scale Deep Learning in Mammogram Image Classification
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
Patch-based DenseNet-121	0.784	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
MorphHR-ResNet18_S224	0.7523	Beyond Fine-tuning: Classifying High Resolution Mammograms using Function-Preserving Transformations
VGG/ResNet	0.75	Breast Cancer Diagnosis in Two-View Mammography Using End-to-End Trained EfficientNet-Based Convolutional Network
VGG/ResNet	0.75	Deep Learning to Improve Breast Cancer Early Detection on Screening Mammography
ResNet18_S224	0.7257	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
VGG16	0.6822	Machine Learning Algorithms for Breast Cancer Detection in Mammography Images: A Comparative Study

0 of 16 row(s) selected.

Cancer No Cancer Per Image Classification On

Metrics

AUC

Results

Performance results of various models on this benchmark

		Paper Title
Multi-patch size DenseNet-121	0.809	Exploiting Patch Sizes and Resolutions for Multi-Scale Deep Learning in Mammogram Image Classification
SingleView_PatchBased_EfficientNet-B0	0.8033	Breast Cancer Diagnosis in Two-View Mammography Using End-to-End Trained EfficientNet-Based Convolutional Network
MorphHR-ResNet18_S896	0.7964	Beyond Fine-tuning: Classifying High Resolution Mammograms using Function-Preserving Transformations
ResNet18_S896	0.7958	Beyond Fine-tuning: Classifying High Resolution Mammograms using Function-Preserving Transformations
SingleView_PatchBased_EfficientNet-B3	0.7952	Breast Cancer Diagnosis in Two-View Mammography Using End-to-End Trained EfficientNet-Based Convolutional Network
Multi-resolution DenseNet-121	0.789	Exploiting Patch Sizes and Resolutions for Multi-Scale Deep Learning in Mammogram Image Classification
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
Patch-based DenseNet-121	0.784	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
MorphHR-ResNet18_S224	0.7523	Beyond Fine-tuning: Classifying High Resolution Mammograms using Function-Preserving Transformations
VGG/ResNet	0.75	Breast Cancer Diagnosis in Two-View Mammography Using End-to-End Trained EfficientNet-Based Convolutional Network
VGG/ResNet	0.75	Deep Learning to Improve Breast Cancer Early Detection on Screening Mammography
ResNet18_S224	0.7257	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
VGG16	0.6822	Machine Learning Algorithms for Breast Cancer Detection in Mammography Images: A Comparative Study

0 of 16 row(s) selected.