HyperAI초신경

홈 뉴스 최신 연구 논문 튜토리얼 데이터셋 백과사전 SOTA LLM 모델 GPU 랭킹 컨퍼런스

한국어

HyperAI초신경

Cancer No Cancer Per Image Classification On

평가 지표

AUC

평가 결과

이 벤치마크에서 각 모델의 성능 결과

모델 이름	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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