Table 1 The comparison experiments evaluation metrics of CT lung window images and PET images (Bold: best; Bolditalic: second best).
From: Long-range correlation-guided dual-encoder fusion network for medical images
Image | Methods | IE | AG | SD | SF | SCD | VIF | \({\textrm{Q}^{\textrm{AB}/\textrm{F}}}\) | EI |
|---|---|---|---|---|---|---|---|---|---|
1 | NSCT | 6.56 | 7.55 | 31.61 | 22.79 | 1.65 | 0.51 | 0.48 | 53.41 |
LatLRR | 6.83 | 5.24 | 32.98 | 18.36 | 1.62 | 0.51 | 0.41 | 41.85 | |
EMMA | 5.48 | 4.64 | 21.08 | 16.39 | 1.16 | 0.39 | 0.30 | 37.52 | |
DIF-Net | 5.89 | 4.61 | 32.27 | 15.73 | 1.57 | 0.45 | 0.26 | 36.76 | |
DATFuse | 5.79 | 4.79 | 26.52 | 20.15 | 1.41 | 0.40 | 0.31 | 36.60 | |
Res2Fusion | 5.45 | 4.43 | 23.54 | 21.08 | 1.31 | 0.43 | 0.34 | 36.46 | |
U2Fusion | 6.62 | 6.39 | 33.82 | 17.62 | 1.56 | 0.47 | 0.42 | 49.27 | |
GAN-FM | 6.47 | 5.51 | 23.87 | 17.50 | 1.41 | 0.41 | 0.24 | 39.32 | |
CDDFuse | 6.18 | 7.28 | 28.68 | 25.10 | 1.21 | 0.34 | 0.49 | 63.38 | |
Ours | 7.02 | 7.95 | 33.60 | 26.47 | 1.67 | 0.55 | 0.55 | 65.32 | |
2 | NSCT | 7.09 | 7.46 | 36.44 | 25.05 | 1.54 | 0.53 | 0.57 | 62.03 |
LatLRR | 6.71 | 5.35 | 35.32 | 18.48 | 1.46 | 0.54 | 0.45 | 46.13 | |
EMMA | 5.27 | 4.21 | 20.87 | 16.10 | 0.99 | 0.39 | 0.24 | 34.04 | |
DIF-Net | 6.36 | 5.17 | 35.14 | 16.71 | 1.43 | 0.53 | 0.33 | 43.24 | |
DATFuse | 5.67 | 4.32 | 23.61 | 19.65 | 1.18 | 0.38 | 0.27 | 33.82 | |
Res2Fusion | 5.46 | 4.30 | 23.68 | 20.47 | 1.32 | 0.48 | 0.32 | 35.87 | |
U2Fusion | 6.90 | 6.63 | 35.69 | 17.38 | 1.40 | 0.53 | 0.48 | 54.35 | |
GAN-FM | 6.44 | 5.68 | 25.45 | 18.16 | 1.23 | 0.44 | 0.24 | 41.87 | |
CDDFuse | 6.28 | 7.47 | 29.38 | 25.26 | 1.22 | 0.34 | 0.48 | 62.66 | |
Ours | 7.01 | 8.08 | 37.28 | 26.33 | 1.57 | 0.57 | 0.58 | 67.19 | |
3 | NSCT | 6.84 | 7.01 | 32.87 | 25.95 | 1.62 | 0.60 | 0.51 | 55.73 |
LatLRR | 6.68 | 4.96 | 33.09 | 17.62 | 1.57 | 0.49 | 0.40 | 41.45 | |
EMMA | 5.28 | 4.35 | 20.15 | 17.35 | 1.14 | 0.39 | 0.25 | 34.47 | |
DIF-Net | 6.18 | 4.71 | 35.39 | 15.70 | 1.52 | 0.50 | 0.28 | 38.67 | |
DATFuse | 5.73 | 4.54 | 24.47 | 20.60 | 1.35 | 0.35 | 0.27 | 34.36 | |
Res2Fusion | 5.39 | 4.31 | 22.70 | 20.66 | 1.43 | 0.48 | 0.32 | 35.83 | |
U2Fusion | 6.79 | 6.25 | 36.43 | 17.16 | 1.50 | 0.51 | 0.43 | 50.10 | |
GAN-FM | 6.36 | 5.37 | 23.82 | 17.92 | 1.36 | 0.38 | 0.20 | 38.23 | |
CDDFuse | 6.05 | 7.63 | 28.08 | 25.13 | 1.27 | 0.35 | 0.48 | 62.90 | |
Ours | 7.05 | 7.86 | 36.50 | 26.62 | 1.63 | 0.61 | 0.56 | 63.72 | |
4 | NSCT | 7.16 | 9.19 | 29.72 | 26.68 | 1.67 | 0.43 | 0.52 | 72.14 |
LatLRR | 6.71 | 6.09 | 31.20 | 19.07 | 1.63 | 0.41 | 0.43 | 51.86 | |
EMMA | 5.75 | 5.15 | 21.25 | 16.91 | 1.30 | 0.33 | 0.23 | 42.30 | |
DIF-Net | 6.44 | 5.81 | 32.26 | 16.92 | 1.60 | 0.42 | 0.29 | 47.86 | |
DATFuse | 5.89 | 4.81 | 21.75 | 19.70 | 1.40 | 0.28 | 0.24 | 38.14 | |
Res2Fusion | 5.63 | 4.74 | 22.79 | 20.40 | 1.55 | 0.41 | 0.28 | 39.71 | |
U2Fusion | 7.04 | 7.64 | 32.12 | 18.71 | 1.57 | 0.43 | 0.46 | 62.77 | |
GAN-FM | 6.84 | 6.73 | 24.22 | 19.10 | 1.47 | 0.35 | 0.23 | 49.81 | |
CDDFuse | 6.65 | 9.14 | 31.06 | 26.42 | 1.38 | 0.28 | 0.48 | 74.89 | |
Ours | 7.21 | 9.24 | 32.51 | 27.75 | 1.68 | 0.44 | 0.53 | 75.39 | |
5 | NSCT | 6.92 | 8.27 | 40.38 | 27.85 | 1.61 | 0.56 | 0.57 | 59.41 |
LatLRR | 6.67 | 5.56 | 39.57 | 19.04 | 1.56 | 0.49 | 0.43 | 44.47 | |
EMMA | 5.48 | 4.50 | 24.05 | 16.21 | 1.12 | 0.39 | 0.27 | 37.07 | |
DIF-Net | 6.13 | 4.91 | 34.66 | 15.78 | 1.51 | 0.55 | 0.31 | 41.14 | |
DATFuse | 5.75 | 4.57 | 23.23 | 20.16 | 1.18 | 0.35 | 0.27 | 35.31 | |
Res2Fusion | 5.48 | 4.34 | 24.23 | 20.59 | 1.29 | 0.49 | 0.33 | 36.20 | |
U2Fusion | 6.73 | 6.48 | 36.05 | 17.68 | 1.50 | 0.52 | 0.47 | 54.03 | |
GAN-FM | 6.47 | 5.65 | 25.39 | 18.29 | 1.24 | 0.42 | 0.24 | 42.24 | |
CDDFuse | 6.13 | 7.54 | 30.08 | 28.07 | 1.23 | 0.37 | 0.48 | 62.89 | |
Ours | 7.02 | 8.48 | 42.78 | 28.60 | 1.70 | 0.59 | 0.59 | 69.78 |