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Table 5 Multiple comparison of accuracy between CMG Net and the other four nets

From: Utility of a novel integrated deep convolutional neural network for the segmentation of hip joint from computed tomography images in the preoperative planning of total hip arthroplasty

Disease Dependent variable (I) NET (J) NET Mean difference (I − J) Std. error Sig 95% confidence interval
Lower bound Upper bound
Multiple comparisons
Least significance difference (LSD)
ONFH DOC CMG net FCN 0.14 0.02 < 0.05 0.10 0.19
2D UNET 0.04 0.02 < 0.05 0.00 0.09
2.5D UNET 0.20 0.02 < 0.05 0.16 0.24
3D UNET 0.22 0.02 < 0.05 0.18 0.26
ASD CMG net FCN − 0.03 0.06 0.61 − 0.15 0.09
2D UNET − 0.15 0.06 < 0.05 − 0.27 − 0.03
2.5D UNET − 0.04 0.06 0.51 − 0.16 0.08
3D UNET − 0.09 0.06 0.14 − 0.21 0.03
HD CMG net FCN − 1.28 0.36 < 0.05 − 1.99 − 0.57
2D UNET − 0.74 0.36 < 0.05 − 1.45 − 0.03
2.5D UNET − 5.16 0.36 < 0.05 − 5.87 − 4.45
3D UNET − 6.86 0.36 < 0.05 − 7.56 − 6.15
DDH DOC CMG net FCN 0.15 0.02 < 0.05 0.12 0.18
2D UNET 0.09 0.02 < 0.05 0.06 0.12
2.5D UNET 0.24 0.02 < 0.05 0.21 0.27
3D UNET 0.25 0.02 < 0.05 0.22 0.28
ASD CMG net FCN − 0.19 0.03 < 0.05 − 0.25 − 0.13
2D UNET − 0.18 0.03 < 0.05 − 0.24 − 0.12
2.5D UNET − 0.27 0.03 < 0.05 − 0.34 − 0.21
3D UNET − 0.19 0.03 < 0.05 − 0.26 − 0.13
HD CMG net FCN − 1.08 0.31 < 0.05 − 1.69 − 0.47
2D UNET − 0.80 0.31 < 0.05 − 1.41 − 0.20
2.5D UNET − 4.97 0.31 < 0.05 − 5.57 − 4.36
3D UNET − 6.60 0.31 < 0.05 − 7.21 − 6.00
FNF DOC CMG net FCN 0.11 0.01 < 0.05 0.09 0.14
2D UNET 0.04 0.01 < 0.05 0.01 0.06
2.5D UNET 0.21 0.01 < 0.05 0.18 0.23
3D UNET 0.19 0.01 < 0.05 0.17 0.22
ASD CMG net FCN − 0.21 0.02 < 0.05 − 0.25 − 0.17
2D UNET − 0.24 0.02 < 0.05 − 0.27 − 0.20
2.5D UNET − 0.23 0.02 < 0.05 − 0.27 − 0.19
3D UNET − 0.24 0.02 < 0.05 − 0.28 − 0.20
HD CMG net FCN − 1.16 0.22 < 0.05 − 1.60 − 0.73
2D UNET 0.08 0.22 0.73 − 0.36 0.51
2.5D UNET − 4.88 0.22 < 0.05 − 5.32 − 4.45
3D UNET − 6.64 0.22 < 0.05 − 7.08 − 6.21
OA DOC CMG net FCN 0.03 0.02 < 0.05 0.00 0.07
2D UNET 0.09 0.02 < 0.05 0.05 0.12
2.5D UNET 0.16 0.02 < 0.05 0.12 0.19
3D UNET 0.15 0.02 < 0.05 0.12 0.18
ASD CMG net FCN − 0.04 0.07 0.62 − 0.18 0.11
2D UNET 0.11 0.07 0.14 − 0.04 0.25
2.5D UNET − 0.10 0.07 0.16 − 0.25 0.04
3D UNET − 0.04 0.07 0.57 − 0.19 0.10
HD CMG net FCN − 2.63 0.22 < 0.05 − 3.07 − 2.18
2D UNET − 3.19 0.22 < 0.05 − 3.63 − 2.74
2.5D UNET − 4.72 0.22 < 0.05 − 5.17 − 4.28
3D UNET − 5.74 0.22 < 0.05 − 6.18 − 5.29
NORMAL DOC CMG net FCN 0.01 0.02 0.53 − 0.02 0.04
2D UNET 0.09 0.02 < 0.05 0.06 0.12
2.5D UNET 0.15 0.02 < 0.05 0.11 0.18
3D UNET 0.16 0.02 < 0.05 0.13 0.20
ASD CMG net FCN − 0.05 0.07 0.53 − 0.19 0.10
2D UNET − 0.02 0.07 0.81 − 0.16 0.13
2.5D UNET − 0.09 0.07 0.24 − 0.23 0.06
3D UNET 0.04 0.07 0.60 − 0.11 0.19
HD CMG net FCN − 2.75 0.27 < 0.05 − 3.28 − 2.22
2D UNET − 3.44 0.27 < 0.05 − 3.98 − 2.91
2.5D UNET − 4.61 0.27 < 0.05 − 5.14 − 4.08
3D UNET − 6.00 0.27 < 0.05 − 6.54 − 5.47