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Table 4: The results of testing set
Technique Model AUC ACC SEN SPE
FLAIR ResNet3D 0.783 0.695 0.650 0.790
T2WI ResNet3D 0.649 0.593 0.450 0.895
FLAIR3 ResNet3D 0.730 0.695 0.700 0.684
Clinical data FCNN 0.774 0.831 0.950 0.579
FLAIR+ clinical data WAE-net 0.826 0.847 0.974 0.580
FLAIR3+ clinical data WAE-net 0.887 0.831 0.850 0.789
T2WI+ clinical data WAE-net 0.809 0.847 0.975 0.579
Ensemble all WAE-net 0.908 0.847 0.850 0.842

Technique	Model	AUC	ACC	SEN	SPE
FLAIR	ResNet3D	0.783	0.695	0.650	0.790
T2WI	ResNet3D	0.649	0.593	0.450	0.895
FLAIR3	ResNet3D	0.730	0.695	0.700	0.684
Clinical data	FCNN	0.774	0.831	0.950	0.579
FLAIR+ clinical data	WAE-net	0.826	0.847	0.974	0.580
FLAIR3+ clinical data	WAE-net	0.887	0.831	0.850	0.789
T2WI+ clinical data	WAE-net	0.809	0.847	0.975	0.579
Ensemble all	WAE-net	0.908	0.847	0.850	0.842