AI RESEARCH
BifDet: A 3D Bifurcation Detection Dataset for Airway-Tree Modeling
arXiv CS.CV
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ArXi:2604.24999v1 Announce Type: new Thoracic Computed Tomography (CT) scans offer detailed insights into the intricate branching network of the airway tree, which is essential for understanding various respiratory diseases. Airway bifurcations, where airway branches split, are crucial landmarks for understanding lung physiology, disease mechanisms and lesion localization. Despite the significance of bifurcation analysis, a notable lack of datasets annotated for this task hinders the development of advanced automated specialized detection or segmentation tools. In this paper, we.