From: Artifact estimation network for MR images: effectiveness of batch normalization and dropout layers
 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 |
---|---|---|---|---|---|---|---|---|---|---|
Artifact | 0.889 | 0.892 | 0.869 | 0.856 | 0.866 | 0.856 | 0.871 | 0.889 | 0.896 | 0.898 |
Transformer | 0.900 | 0.890 | 0.894 | 0.897 | 0.887 | 0.894 | 0.895 | 0.897 | 0.903 | 0.873 |
Network 1 | 0.947 | 0.951 | 0.936 | 0.925 | 0.94 | 0.924 | 0.942 | 0.954 | 0.958 | 0.956 |
Network 2 | 0.974 | 0.974 | 0.974 | 0.967 | 0.974 | 0.967 | 0.976 | 0.978 | 0.978 | 0.979 |
Network 3 | 0.973 | 0.974 | 0.973 | 0.963 | 0.973 | 0.966 | 0.975 | 0.978 | 0.978 | 0.977 |