Multi Label Classification On Chexpert

AVERAGE AUC ON 14 LABEL

NUM RADS BELOW CURVE

Results

Performance results of various models on this benchmark

			Paper Title	Repository
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	-	-

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