Skeleton Supervised Airway Segmentation

arXiv:2403.06510v1 Announce Type: new
Abstract: Fully-supervised airway segmentation has accomplished significant triumphs over the years in aiding pre-operative diagnosis and intra-operative navigation. However, full voxel-level annotation constitutes a labor-intensive and time-consuming task, often plagued by issues such as missing branches, branch annotation discontinuity, or erroneous edge delineation. label-efficient solutions for airway extraction are rarely explored yet primarily demanding in medical practice. To this end, we introduce a novel skeleton-level annotation (SkA) tailored to the airway, which simplifies the annotation workflow …

abstract annotation arxiv cs.cv diagnosis discontinuity edge extraction however labor navigation segmentation solutions type voxel