Automatic adjustment of laparoscopic pose using deep reinforcement learning

Automatic adjustment of laparoscopic pose using deep reinforcement learning

Laparoscopic arm and instrument arm control tasks are usually accomplished by an operative doctor. Because of intensive workload and long operative time, this method not only causes the operation not to be flow, but also increases operation risk. In this paper, we propose a method for automatic adju...

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Bibliographic Details
Main Authors: Sun, L. (Author), Wang, P. (Author), Xia, Y. (Author), Yu, L. (Author)
Format: Article
Language:English
Published: Copernicus GmbH 2022
Subjects:
Arms control
Automatic adjustment
Control task
Convolutional neural networks
Deep neural networks
Image processing
Joint actions
Laparoscopy
Learning systems
Multilayer neural networks
Network frameworks
Operation risk
Pose information
Q-values
Reinforcement learning
Reinforcement learnings
Surgical equipment
Surgical instrument
Transplantation (surgical)
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