Enhancing Liver Vessel Segmentation through Scale-Specific Auxiliary Multi-Task Contrastive Learning

A novel deep learning approach that leverages scale-specific auxiliary tasks and contrastive learning to effectively capture the complex multi-scale geometry of the liver vascular tree.