Multi-label chest disease diagnosis on Chest X-ray benchmark leaderboard · SOTA2 Research

Multi-label chest disease diagnosis on Chest X-ray

0.682KappaCoMCL

Evaluation Results

Method	Links
CoMCL2024.04		0.682	0.708
Lesion-aware CL2024.04		0.673	0.691
Zoom-in-Net2024.04		0.662	0.684
CABNet2024.04		0.66	0.675
MMCNN2024.04		0.657	0.672
DeepMT-DR2024.04		0.649	0.665
LANet2024.04		0.642	0.658
CoMCL2024.04		0.641	0.663
Lesion-base CL2024.04		0.636	0.652
Lesion-aware CL2024.04		0.626	0.645
DenseNet-1212024.04		0.624	0.635
Resnet502024.04		0.619	0.626
Inception-v32024.04		0.615	0.624
Zoom-in-Net2024.04		0.615	0.631
CABNet2024.04		0.607	0.628
MMCNN2024.04		0.604	0.626
DeepMT-DR2024.04		0.592	0.624
LANet2024.04		0.587	0.622
Lesion-base CL2024.04		0.584	0.619
DenseNet-1212024.04		0.572	0.607
Resnet502024.04		0.564	0.589
Inception-v32024.04		0.558	0.576