HyperAI超神経
ホーム
ニュース
最新論文
チュートリアル
データセット
百科事典
SOTA
LLMモデル
GPU ランキング
学会
検索
サイトについて
日本語
HyperAI超神経
Toggle sidebar
サイトを検索…
⌘
K
ホーム
SOTA
Cancer No Cancer Per Image Classification
Cancer No Cancer Per Image Classification On
Cancer No Cancer Per Image Classification On
評価指標
AUC
評価結果
このベンチマークにおける各モデルのパフォーマンス結果
Columns
モデル名
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.
Previous
Next