Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Vascular intervention robot automatic operation method based on deep learning

A deep learning, interventional surgery technology, used in surgical robots, surgery, instruments, etc.

Pending Publication Date: 2020-11-13
SHENZHEN INST OF ADVANCED BIOMEDICAL ROBOT CO LTD
View PDF7 Cites 9 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to provide an automatic surgical method for vascular intervention based on deep learning, which can solve the problems faced by the prior art and assist doctors to complete the operation of vascular intervention. The method of automatic operation of vascular interventional surgery robot has certain transferability. It is an automated operation system and method of vascular interventional surgery robot based on the Alexnet deep learning network model. It can use artificial intelligence to replace doctors in vascular interventional robotic surgery. Operation

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Vascular intervention robot automatic operation method based on deep learning
  • Vascular intervention robot automatic operation method based on deep learning
  • Vascular intervention robot automatic operation method based on deep learning

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0065] Embodiment: a kind of vascular intervention robot automatic surgery method based on deep learning, such as figure 1 , figure 2 As shown, it is characterized in that it includes the following:

[0066] (1) For the terminal medical image information and doctor's operation data collection during the operation process using the vascular interventional robot, such as figure 2 shown;

[0067] (2) To process the collected data and apply the Alexnet deep learning network for training, such as image 3 , Figure 4 shown;

[0068] (3) Apply the trained network model to the automated surgery process of the vascular interventional surgery robot, such as Figure 4 shown.

[0069] For the collection of terminal medical image information and doctor's operation data during the operation process using the vascular interventional surgery robot, such as figure 2 , image 3 As shown, it specifically includes the following steps:

[0070] (1-1) During the continuous operation of v...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a vascular interventional surgery robot automatic surgery operation system based on an Alexnet deep learning network model. The method comprises the steps: collecting terminalmedical image information and doctor operation data in the surgery process of a vascular interventional surgery robot; processing the acquired data, and inputting the processed data into an Alexnet deep learning network for network training; applying the trained network model to an automatic operation process of the vascular intervention operation robot. By means of the strategy, the operation experience of doctors is greatly improved, the physical burden of the doctors is relieved, and the method has high practicability and research value in the field of medical robots.

Description

technical field [0001] The invention belongs to the technical field of medical robots, in particular to a deep learning-based automatic surgery method for vascular interventional surgery robots. The application scene is mainly in the field of intelligent master-slave medical robots. Background technique [0002] With the rapid development of artificial intelligence, more and more intelligent robots replace humans in industrial production, driving, medical treatment and other fields. At present, in the field of medical surgical robots, the most frequently used and fastest growing robot system is the vascular interventional surgery robot system. The main working method of the vascular surgery robot system is: the doctor operates the main-end operation equipment of the vascular interventional surgery robot system according to the medical image instructions, the main-end manipulator collects the doctor's operation instructions, and the operation instructions are transmitted to t...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/46G06T7/00G06N3/04A61B34/10A61B34/37A61B34/30
CPCG06T7/0012A61B34/37A61B34/10G06T2207/30101A61B2034/303A61B2034/301A61B2034/101G06V20/10G06V10/44G06N3/045
Inventor 郭健郭书祥冯苏湘
Owner SHENZHEN INST OF ADVANCED BIOMEDICAL ROBOT CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com