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

Image recognition method and system for stability of spinal metastases

A metastatic tumor and image recognition technology, which is applied in the field of spinal metastatic tumor image recognition, can solve the problems of huge labor costs and achieve the effects of saving manpower, improving the level of diagnosis and treatment, and high efficiency

Active Publication Date: 2022-04-08
赵晖
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] At present, in terms of the stability of spinal metastases and the determination of the stability of spinal metastases, manual recognition of CT images is usually used one by one, which is a huge test for the doctor's experience and technical level, and it also costs a lot of time. Labor cost, time cost, technology cost and equipment cost

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
  • Image recognition method and system for stability of spinal metastases
  • Image recognition method and system for stability of spinal metastases
  • Image recognition method and system for stability of spinal metastases

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0022] In the following, the structure and working principle of the present invention will be further described in conjunction with the accompanying drawings.

[0023] Such as figure 1 as shown, figure 1 It is a schematic flow chart of the first image recognition method for the stability of spinal metastases according to the present invention. The image recognition method for the stability of spinal metastases includes the following steps:

[0024] S1 collects an image data set, and divides the data set into a training set and a test set; in a preferred embodiment of the present invention, the image data set is a spine CT image set of spinal metastases;

[0025] S2 label the data in the image data set; in a preferred embodiment of the present invention, the labeling is specifically to label the data in the image data set correspondingly, and assign a medical label;

[0026] S3 splits several parts in the image data set that can be scored according to the image information in...

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 an image recognition method and system for spinal metastatic tumor stability. An image recognition method and system for spinal metastatic tumor stability of the present invention are used to collect image data sets, and the data sets are divided into training sets and test sets; the data in the image data sets are marked; Several parts in the image data set that can be scored according to the image information are divided into several subtasks, and a deep neural network model is established for each of the subtasks; the neural network model is trained using the data of the training set to obtain a system a model; testing the system model using data from the test set. The image recognition method and system for the stability of spinal metastatic tumors of the present invention can use artificial intelligence technology to establish a deep neural network, and obtain a system model for judging the stability of spinal metastatic tumors through the training of the CT image database of spinal metastatic tumors.

Description

technical field [0001] The invention relates to the field of image recognition of spinal metastases, in particular to an image recognition method and system for the stability of spinal metastases. Background technique [0002] At present, in terms of the stability of spinal metastases and the determination of the stability of spinal metastases, manual recognition of CT images is usually used one by one, which is a huge test for the doctor's experience and technical level, and it also costs a lot of time. Labor cost, time cost, technology cost and equipment cost. Therefore, we provide a method that can use artificial intelligence technology to establish a deep neural network, and through the training of the CT image database of spinal metastases, can realize the intelligent recognition of spine CT images of spinal metastases by artificial intelligence, and realize the automatic determination of the stability of spinal metastases. Technology is crucial. [0003] In view of 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 Patents(China)
IPC IPC(8): G06T7/00G06T7/11G06V10/764
CPCG06T7/0012G06T7/11G06T2207/10081G06T2207/30012G06T2207/30096G06T2207/20081G06T2207/20084G06F18/24
Inventor 赵晖王延峰顾一峰张娅姚光宇李跃华张小云王智煜赖柏霖彭诗奇
Owner 赵晖
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