Multi Label Classification On Chexpert

AVERAGE AUC ON 14 LABEL

NUM RADS BELOW CURVE

평가 결과

이 벤치마크에서 각 모델의 성능 결과

			Paper Title
CFT (ensemble) Macao Polytechnic University	0.933	-	Category-Wise Fine-Tuning for Image Multi-label Classification with Partial Labels
DeepAUC-v1	0.930	2.800	Large-scale Robust Deep AUC Maximization: A New Surrogate Loss and Empirical Studies on Medical Image Classification
Hierarchical-Learning-V1 (ensemble)	0.930	2.600	Interpreting chest X-rays via CNNs that exploit hierarchical disease dependencies and uncertainty labels
YWW(ensemble)	0.929	2.800	-
Conditional-Training-LSR-V1	0.929	2.600	-
Conditional-Training-LSR	0.929	2.600	-
Hierarchical-Learning-V4 (ensemble)	0.929	2.600	Interpreting chest X-rays via CNNs that exploit hierarchical disease dependencies and uncertainty labels
Hierarchical-Learning-V0 (ensemble)	0.929	2.600	-
DeepCNNsGM(ensemble)	0.928	2.600	-
Multi-Stage-Learning-CNN-V3 (ensemble)	0.928	2.600	-
SenseXDR	0.927	2.600	-
ihil (ensemble)	0.927	2.600	-
inisis	0.927	3.000	-
DeepCNNs(ensemble)	0.927	2.600	-
yw	0.926	2.600	-
Anatomy-XNet-V1	0.926	2.600	Anatomy-XNet: An Anatomy Aware Convolutional Neural Network for Thoracic Disease Classification in Chest X-rays
JF aboy ensemble_V2 JF HEALTHCARE https://github.com/deadpoppy/CheXpert-Challeng	0.926	3.000	-
DRNet (ensemble)	0.926	2.600	-
hoanganh_VB_ensemble3	0.925	2.400	-
alimebkovk	0.925	2.400	-

0 of 226 row(s) selected.