Accueil Actualités Articles de recherche récents Tutoriels Ensembles de données Wiki SOTA Modèles LLM Classement GPU Événements

Français

Cancer No Cancer Per Image Classification On

Métriques

AUC

Résultats

Résultats de performance de divers modèles sur ce benchmark

Nom du modèle	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	-

0 of 16 row(s) selected.