Abstract
Because of the various shortcomings of traditional interventional surgery, it has become a trend to develop vascular interventional robots to assist doctors in completing operations. However, the existing vascular intervention robot assist system has given the doctor a large amount of data to assist the operation, but the doctor still needs a lot of energy and physical strength to operate the handle at the master side. Therefore, this paper aims to study the use of deep learning algorithms in a laboratory environment to assist the vascular interventional surgery robot to drive the catheter to the specified position. In the future, using this method can effectively reduce the burden on doctors and reduce operating errors caused by doctors' fatigue.
Published Version
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