Feb. 21, 2024, 5:46 a.m. | Qingyao Tian, Huai Liao, Xinyan Huang, Bingyu Yang, Jinlin Wu, Jian Chen, Lujie Li, Hongbin Liu

cs.CV updates on arXiv.org arxiv.org

arXiv:2402.12763v1 Announce Type: new
Abstract: Localizing the bronchoscope in real time is essential for ensuring intervention quality. However, most existing methods struggle to balance between speed and generalization. To address these challenges, we present BronchoTrack, an innovative real-time framework for accurate branch-level localization, encompassing lumen detection, tracking, and airway association.To achieve real-time performance, we employ a benchmark lightweight detector for efficient lumen detection. We are the first to introduce multi-object tracking to bronchoscopic localization, mitigating temporal confusion in lumen identification …

abstract arxiv association balance challenges cs.cv detection framework localization quality real-time speed struggle tracking type

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