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. 2021 Jun 10;119:108109. doi: 10.1016/j.patcog.2021.108109

Table 4.

Validation of different networks for lung infection segmentation on the KAGGLE dataset.

Methods DSC (%)
Case #1 Case #2 Case #3 Case #4 Case #5 Case #6 Case #7 Case #8 Case #9 Average
PSPNet 68.27 67.41 78.14 64.06 78.61 48.92 48.52 0.00 76.38 58.92
ESPNetv2 69.27 72.93 75.33 55.16 70.34 54.98 62.95 8.07 68.64 59.74
DenseASPP 62.82 67.98 74.16 68.26 62.95 37.46 58.04 14.33 59.30 56.15
DeepLabV3+ 66.73 70.10 73.14 63.80 61.11 38.13 60.58 14.01 63.07 56.74
U-Net 65.65 78.36 54.95 68.04 76.30 62.37 54.55 11.47 78.50 61.13
COPLE-Net 59.72 43.36 75.90 54.48 59.92 14.71 54.30 6.62 49.18 46.47
CE-Net 68.20 79.73 72.69 58.37 78.76 52.37 62.04 0.69 72.47 60.59
Attention U-Net 66.95 80.39 72.67 70.36 79.44 62.28 62.83 8.89 77.97 64.64
UNet+ 67.39 76.52 73.44 63.95 78.57 65.26 60.98 8.84 70.67 62.85
Proposed 68.74 79.12 79.98 70.88 77.63 57.91 64.89 27.72 80.43 67.48