Towards Real-Time Autonomous Navigation: Transformer-Based Catheter Tip Tracking in Fluoroscopy · DeepSignal
Towards Real-Time Autonomous Navigation: Transformer-Based Catheter Tip Tracking in Fluoroscopy
arXiv cs.CV·Harry Robertshaw, Yanghe Hao, Weiyuan Deng, Benjamin Jackson, S. M. Hadi Sadati, Nikola Fischer, Tom Vercauteren, Alejandro Granados, Thomas C. Booth
2d ago
·~2 min·5/15/2026·en·2
Quick Take
This paper presents a robust real-time catheter tip tracking system for autonomous navigation in fluoroscopy.
Key Points
Developed a multi-threaded tracking pipeline for catheter tips.
Achieved 4.44 mm mean absolute error with SegFormer model.
Outperformed state-of-the-art benchmarks in segmentation accuracy.
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This advancement in real-time catheter tracking enhances precision in medical procedures, signaling opportunities for developers in healthcare AI and attracting PMs and investors focused on innovative medical technologies.