A Deep Reinforcement Learning Approach for Pre-Planning Problems in Robotic Intra-Operative Ultrasound: a Virtual Environment-Based Analysis-Reference-Cited by-同舟云学术

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A Deep Reinforcement Learning Approach for Pre-Planning Problems in Robotic Intra-Operative Ultrasound: a Virtual Environment-Based Analysis

Published:2023-11-07 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 3rd International Conference on Digital Twins and Parallel Intelligence (DTPI)
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Author:

Lin Haichuan¹,Xie Yiping²,Wang Ziqi¹,Wang Shuangyi¹

Affiliation:

1. Chinese Academy of Sciences,State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation,Beijing,China

2. Chinese Academy of Sciences Hong Kong Science Park,Centre for Artificial Intelligence and Robotics, Hong Kong Institute of Science & Innovation,Hong Kong,China

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10365401/10365317/10365457.pdf?arnumber=10365457

Reference14 articles.

1. An Overview of Systems and Techniques for Autonomous Robotic Ultrasound Acquisitions

2. Design, testing and modelling of a novel robotic system for trans-oesophageal ultrasound

3. Robotic Ultrasound: View Planning, Tracking, and Automatic Acquisition of Transesophageal Echocardiography

4. 3-D Electromagnetic Position Estimation System Using High-Magnetic-Permeability Metal for Continuum Medical Robots

5. Robot-Assisted Trans-Esophageal Ultrasound and the Virtual Admittance-Based Master-Slave Control Method Thereof

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