Table 4.

Results of additionally testing on noise only images. The influence of including noise only images in the testing set on the overall segmentation performance of a cGAN trained with ${\mathcal{L}}_{\mathrm{cGAN}}+\mathrm{\lambda }{\mathcal{L}}_{\mathrm{L}1}(\mathrm{\lambda }=100)$ loss objective and a U-Net trained with ${\mathcal{L}}_{\mathrm{L}1}$ objective. Training was performed on the AMROA training dataset without noise only images.

Influence of Noise Only Images
cGAN
Testing	F Bone	T Bone	P Bone	F Cartilage	T Cartilage	P Cartilage	VM Muscle	GM Muscle	ACL	PCL
No Noise	0.918 ± 0.011	0.948 ± 0.018	0.928 ± 0.002	0.812 ± 0.002	0.748 ± 0.042	0.863 ± 0.043	0.113 ± 0.085	0.000 ± 0.000	0.577 ± 0.020	0.073 ± 0.103
With Noise	0.925 ± 0.012	0.946 ± 0.017	0.928 ± 0.004	0.810 ± 0.003	0.752 ± 0.045	0.858 ± 0.054	0.098 ± 0.114	0.000 ± 0.000	0.593 ± 0.028	0.092 ± 0.131
%-Diff	0.7	0.2	0.0	0.2	0.4	0.5	1.5	0.0	1.6	1.9
U-Net
Testing	F Bone	T Bone	P Bone	F Cartilage	T Cartilage	P Cartilage	VM Muscle	GM Muscle	ACL	PCL
No Noise	0.972 ± 0.006	0.960 ± 0.001	0.941 ± 0.010	0.886 ± 0.007	0.834 ± 0.010	0.890 ± 0.034	0.000 ± 0.000	0.000 ± 0.000	0.643 ± 0.153	0.641 ± 0.008
With Noise	0.968 ± 0.001	0.957 ± 0.009	0.938 ± 0.016	0.885 ± 0.004	0.833 ± 0.010	0.894 ± 0.026	0.000 ± 0.000	0.000 ± 0.000	0.620 ± 0.156	0.643 ± 0.025
%-Diff	0.4	0.3	0.3	0.1	0.1	0.4	0.0	0.0	2.3	0.2

DSCs are presented as mean ± standard deviation.

Abbreviations: F Bone – femoral bone, T Bone – tibial bone, P Bone – patellar bone, F Cartilage – femoral cartilage, T Cartilage – tibial cartilage, P Cartilage – patellar cartilage, VM Muscle - vastus medialis muscle, GM Muscle – medial head of gastrocnemius medialis muscle, ACL – anterior cruciate ligament, PCL – posterior cruciate ligament, DSC - Sørensen–Dice similarity coefficient, %-Diff – absolute percentage difference.