  We address the problem of multimodal liver segmentation in paired but
unregistered T1 and T2-weighted MR images. We compare several strategies
described in the literature, with or without multi-task training, with or
without pre-registration. We also compare different loss functions
(cross-entropy, Dice loss, and three adversarial losses). All methods achieved
comparable performances with the exception of a multi-task setting that
performs both segmentations at once, which performed poorly.

Image and Video Processing;Computer Vision and Pattern Recognition