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VesNet-RL: Simulation-based Reinforcement Learning for Real-World US Probe Navigation. (arXiv:2205.06676v1 [eess.IV])
cs.CV updates on arXiv.org arxiv.org
Ultrasound (US) is one of the most common medical imaging modalities since it
is radiation-free, low-cost, and real-time. In freehand US examinations,
sonographers often navigate a US probe to visualize standard examination planes
with rich diagnostic information. However, reproducibility and stability of the
resulting images often suffer from intra- and inter-operator variation.
Reinforcement learning (RL), as an interaction-based learning method, has
demonstrated its effectiveness in visual navigating tasks; however, RL is
limited in terms of generalization. To address this challenge, …
arxiv learning navigation probe reinforcement reinforcement learning rl simulation us