Table 2.

Comparison on the MRNet dataset.

Pathology	Method	ROC-AUC	ACC	SE	SP
Abnormality	MRNet	0.936	0.883	0.947	0.64
	ELNet	0.941	0.917	0.968	0.72
	MRPyrNet (with MRNet)	–––	–––	–––	–––
	MRPyrNet (with ELNet)	–––	–––	–––	–––
	TransMed-T (Ours)	0.974 ± 0.007	0.907 ± 0.010	0.955 ± 0.002	0.728 ± 0.016
	TransMed-S (Ours)	0.976 ± 0.004	0.918 ± 0.006	0.958 ± 0.011	0.720 ± 0.000
	TransMed-B (Ours)	0.958 ± 0.018	0.898 ± 0.012	0.951 ± 0.016	0.696 ± 0.020
ACL Tear	MRNet	0.955 ± 0.005	0.847 ± 0.005	0.722 ± 0.000	0.950 ± 0.009
	ELNet	0.940 ± 0.001	0.808 ± 0.000	0.648 ± 0.019	0.939 ± 0.015
	MRPyrNet (with MRNet)	0.976 ± 0.003	0.886 ± 0.010	0.815 ± 0.019	0.944 ± 0.009
	MRPyrNet (with ELNet)	0.960 ± 0.015	0.881 ± 0.034	0.827 ± 0.039	0.924 ± 0.030
	TransMed-T (Ours)	0.969 ± 0.009	0.938 ± 0.009	0.935 ± 0.021	0.939 ± 0.008
	TransMed-S (Ours)	0.981 ± 0.011	0.949 ± 0.003	0.963 ± 0.007	0.938 ± 0.005
	TransMed-B (Ours)	0.949 ± 0.013	0.931 ± 0.012	0.924 ± 0.027	0.936 ± 0.006
Meniscus Tear	MRNet	0.843 ± 0.016	0.778 ± 0.027	0.750 ± 0.067	0.799 ± 0.009
	ELNet	0.869 ± 0.031	0.775 ± 0.044	0.814 ± 0.109	0.745 ± 0.075
	MRPyrNet (with MRNet)	0.889 ± 0.006	0.808 ± 0.008	0.853 ± 0.048	0.775 ± 0.052
	MRPyrNet (with ELNet)	0.895 ± 0.008	0.761 ± 0.042	0.872 ± 0.106	0.676 ± 0.149
	TransMed-T (Ours)	0.939 ± 0.015	0.830 ± 0.024	0.869 ± 0.018	0.800 ± 0.032
	TransMed-S (Ours)	0.945 ± 0.011	0.848 ± 0.016	0.881 ± 0.037	0.824 ± 0.026
	TransMed-B (Ours)	0.952 ± 0.012	0.853 ± 0.018	0.879 ± 0.039	0.834 ± 0.007