Table 2.

DSC, TPR, and FPR for different lesion sizes.

		U5				U2						U1
Lesion Size (mm3)	Nref	N	TPR	FPR	DSC		N	TPR	FPR	DSC	N		TPR	FPR	DSC
20–34	36	56	0.75	0.64	0.55		81	0.72	0.64	0.55	71		0.69	0.70	0.60
35–69	83	93	0.86	0.32	0.63		99	0.76	0.43	0.62	116		0.80	0.53	0.67
70–137	102	108	0.86	0.18	0.73		102	0.86	0.24	0.71	119		0.89	0.25	0.76
138–276	71	75	0.99	0.05	0.82		66	0.92	0.08	0.78	85		0.93	0.14	0.79
277–499	30	35	1.00	0.03	0.84		42	1.00	0.07	0.84	32		1.00	0.03	0.82
≥500	32	27	0.97	0.04	0.81		22	0.97	0.05	0.74	24		0.94	0.00	0.74
All	354	394	0.90	0.23	0.77		412	0.86	0.31	0.72	447		0.87	0.34	0.72

Network U5 use as input FLAIR, T2-weighted, PD-weighted, Pre- and post Gd,T1-weighted.

Network U2 uses pre- and post-Gd T1w.

Network U1 uses post-Gd T1w.

N denotes the number of lesions segmented by the neural networks.

N_ref is the number of lesions in the ground truth segmentation.