Delving into Masked Autoencoders for Multi-Label Thorax Disease Classification
Paper
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2210.12843
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Published
MedMAE models
Delving into Masked Autoencoders for Multi-Label Thorax Disease Classification, https://github.com/lambert-x/medical_mae
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timm/densenet121.tv_in1k
Image Classification • Updated • 4.69k
1aurent/densenet121.medmae_in1k_ft_CXR
Image Classification • 7.05M • UpdatedNote mAUC: 82.2
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1aurent/resnet50.medmae_in1k_mocov2
Image Classification • 23.6M • Updated • 4
1aurent/resnet50.medmae_in1k_mocov2_ft_CXR
Image Classification • 23.6M • Updated • 2Note mAUC: 80.9
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1aurent/resnet50.medmae_in1k_byol
Image Classification • 23.6M • Updated • 8
1aurent/resnet50.medmae_in1k_byol_ft_CXR
Image Classification • 23.6M • Updated • 2Note mAUC: 81.0
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1aurent/resnet50.medmae_in1k_swav
Image Classification • 23.6M • Updated • 2
1aurent/resnet50.medmae_in1k_swav_ft_CXR
Image Classification • 23.6M • Updated • 8Note mAUC: 81.5
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1aurent/densenet121.medmae_CXR_mocov2
Image Classification • 7.04M • Updated • 7
1aurent/densenet121.medmae_CXR_mocov2_ft_CXR
Image Classification • 7.05M • Updated • 3Note mAUC: 80.6
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1aurent/densenet121.medmae_CXR_mae
Image Classification • 7.04M • Updated • 1
1aurent/densenet121.medmae_CXR_mae_ft_CXR
Image Classification • 7.05M • UpdatedNote mAUC: 81.2
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timm/deit_small_patch16_224.fb_in1k
Image Classification • Updated • 172k
1aurent/deit_small_patch16_224.medmae_in1k_ft_CXR
Image Classification • 21.7M • Updated • 3Note mAUC: 79.6
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1aurent/vit_small_patch16_224.medmae_in1k_mae
Image Classification • 21.7M • Updated • 5
1aurent/vit_small_patch16_224.medmae_in1k_mae_ft_CXR
Image Classification • 21.7M • Updated • 3Note mAUC: 78.6
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1aurent/vit_small_patch16_224.medmae_CXR_mae
Image Classification • 21.7M • Updated • 4
1aurent/vit_small_patch16_224.medmae_CXR_mae_ft_CXR
Image Classification • 21.7M • Updated • 3Note mAUC: 82.3
1aurent/vit_small_patch16_224.medmae_CXR_mae_ft_CheXpert
Image Classification • 21.7M • Updated • 3Note mAUC: 89.2
1aurent/vit_small_patch16_224.medmae_CXR_mae_ft_COVIDx
Image Classification • 21.7M • Updated • 20Note Accuracy: 95.2
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1aurent/vit_base_patch16_224.medmae_CXR_mae
Image Classification • 85.8M • Updated • 5
1aurent/vit_base_patch16_224.medmae_CXR_mae_ft_CXR
Image Classification • 85.8M • Updated • 8Note mAUC: 83.0
1aurent/vit_base_patch16_224.medmae_CXR_mae_ft_CheXpert
Image Classification • 85.8M • Updated • 9 • 1Note mAUC: 89.3
1aurent/vit_base_patch16_224.medmae_CXR_mae_ft_COVIDx
Image Classification • 85.8M • Updated • 2Note Accuracy: 95.3