Table 2.

Summary of submitted methods.

Teams	Tasks	Key elements in methods	Teams	Tasks	Key elements in methods
GUT	CT, MRI	Two-step CNN, combined with anatomical label configurations.	UOL	MRI	MAS and discrete registration, to adapt the large shape variations.
KTH	CT, MRI	Multi-view U-Nets combining hierarchical shape prior.	CUHK1	CT, MRI	3D fully connected network (FCN) with the gradient flow optimization and Dice loss function.
SEU	CT	Conventional MAS-based method.	CUHK2	CT, MRI	Hybrid loss guided FCN.
UCF	CT, MRI	Multi-object multi-planar CNN with an adaptive fusion method.	UT	CT, MRI	Local probabilistic atlases coupled with a topological graph.
SIAT	CT, MRI	3D U-Net network learn multi-modality features.	UB2⁎	MRI	Multi-scale fully convolutional Dense-Nets.
UB1⁎	CT, MRI	Dilated residual networks.	UOE⁎	CT, MRI	Two-stage concatenated U-Net.

^⁎Teams submitted results after the challenge deadline are indicated using Asterisk (*).