Scale-Specific Auxiliary Multi-Task Contrastive Learning for Deep Liver Vessel Segmentation
This paper proposes a new clustering technique to decompose the vascular tree into various scale levels, from tiny to large vessels, and extends standard 3D UNet to multi-task learning by incorporating scale-specific auxiliary tasks and contrastive learning to encourage the discrimination between scales in the shared r...
A. Sadikine, B. Badic, J. Tasu et al.
· IEEE International Symposium... · 1 citation