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arXiv Computer Vision By Sahar Nasirihaghighi, Tianyuan Wang, Kenan Niu, Stefano Stramigioli

MCP-Net: Real-Time Coronary Perception Network and Topological Analysis for Robotic Guidewire Navigation

Read the original on arXiv Computer Vision →

MCP‑Net is a real‑time multi‑task network designed for robotic coronary guidewire navigation. It jointly segments coronary vessels, localizes the guidewire tip, and identifies stenosis from a single fluoroscopic frame, then converts these predictions into a structured vascular graph with centerlines, bifurcations, endpoints, branch directions, and angles. Using simulated fluoroscopy derived from 3D CT angiography, the framework generates a roadmap from the graph root to the target lesion, enabling interpretable downstream robotic navigation.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv Computer Vision.

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