Robotic navigation with deep reinforcement learning in transthoracic echocardiography
Yuuki Shida,
Souto Kumagai,
Hiroyasu Iwata
Abstract:Purpose
The search for heart components in robotic transthoracic echocardiography is a time-consuming process. This paper proposes an optimized robotic navigation system for heart components using deep reinforcement learning to achieve an efficient and effective search technique for heart components.
Method
The proposed method introduces (i) an optimized search behavior generation algorithm that avoids multiple local solutions and searches for the optimal … Show more
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