Table 2:

Results comparing the performance metrics of nnU-Net versus DeepMedic architectures for WT and tumor component segmentations compared with the manual ground truth in terms of Dice score metric

Region	Internal Test Subjects		External Test Subjects
	Dice Score: Mean (median)		Dice Score: Mean (median)
	nnU-Net	DeepMedic	nnU-Net	DeepMedic
WT	0.9 (SD,0.07) (0.94)	0.82 (SD, 0.16) (0.88)	0.88 (SD, 0.07) (0.9)	0.78 (SD, 0.18) (0.86)
ET	0.77 (SD, 0.29) (0.86)	0.66 (SD, 0.32) (0.75)	0.75 (SD, 0.26) (0.85)	0.65 (SD, 0.32) (0.8)
NET	0.66 (SD, 0.32) (0.80)	0.48 (SD, 0.27) (0.49)	0.53 (SD, 0.32) (0.64)	0.4 (SD, 0.27) (0.4)
CC	0.71 (SD, 0.33) (0.83)	0.48 (SD, 0.36) (0.55)	0.55 (SD, 0.33) (0.67)	0.37 (SD, 0.33) (0.35)
ED	0.71 (SD, 0.40) (1)	0.19 (SD, 0.33) (0)	0.4 (SD, 0.43) (0.19)	0.21 (SD, 0.32) (0)
NET+CC+ED	0.82 (SD, 0.14) (0.86)	0.67 (SD, 0.2) (0.73)	0.74 (SD, 0.2) (0.8)	0.59 (SD, 0.23) (0.65)
TC	0.91 (SD, 0.07) (0.94)	0.78 (SD, 0.18) (0.83)	0.87 (SD, 0.07) (0.88)	0.76 (SD, 0.18) (0.79)