Handcrafted and Deep Learning-Based Radiomic Models Can Distinguish GBM from Brain Metastasis

Table 2

The performance comparison of multimodality and single-modality models.

Models	Training AUC	Cross-validation mean AUC	Test AUC	Accuracy	Sensitivity	Specificity
T1CE-HCR	0.99	0.94	0.93	0.82	0.70	0.93
T1CE-HCR+DLR	0.99	0.95	0.97	0.85	0.84	0.93
T1WI-HCR	1.00	0.90	0.86	0.71	0.75	0.78
T1WI-HCR+DLR	0.99	0.91	0.87	0.76	0.75	0.83
T2WI-HCR	1.00	0.95	0.76	0.73	0.85	0.66
T2WI-HCR+DLR	1.00	0.96	0.80	0.78	0.80	0.83
Multimodality-HCR	1.00	0.92	0.81	0.71	0.70	0.82
Multimodality-HCR + DLR	1.00	0.96	0.84	0.75	0.71	0.91

The bold values represent the highest accuracy and specificity.