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

Image recognition method and system for spinal metastasis tumor stability

A metastatic tumor and image recognition technology, applied in the field of image recognition of spinal metastases, can solve the problem of huge labor cost, save manpower, improve the level of diagnosis and treatment, and reduce the burden of clinical work.

Active Publication Date: 2020-01-10
赵晖
View PDF5 Cites 1 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 spinal metastasis tumor stability
  • Image recognition method and system for spinal metastasis tumor stability
  • Image recognition method and system for spinal metastasis tumor stability

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 with reference to the accompanying drawings.

[0023] Such as figure 1 As shown, figure 1 It is a schematic diagram of the first process of the image recognition method of spinal metastasis tumor stability according to the present invention. The image recognition method of spinal metastasis tumor stability 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 spinal CT image set of spinal metastases;

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

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

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 metastasis tumor stability. The image recognition method and system for spinal metastasis tumor stability include the steps: collecting image data sets, and dividing the data sets into a training set and a test set; marking the data in the image data set; splitting a plurality of parts which can be scored according to imageinformation in the image data set into a plurality of subtasks, and establishing a deep neural network model for each subtask; training the neural network model by using the data of the training set to obtain a system model; and testing the system model by using the data of the test set. According to the image recognition method and system for the spinal metastasis tumor stability, an artificial intelligence technology can be used for establishing a deep neural network, and a system model for judging the spinal metastasis tumor stability is obtained through training of a spinal metastasis tumor CT image database.

Description

Technical field [0001] The invention relates to the field of spinal metastasis tumor image recognition, in particular to an image recognition method and system for spinal metastasis tumor stability. Background technique [0002] At present, in determining the stability of spinal metastatic tumors and the stability of spinal metastatic tumors, manual identification of CT images one by one is usually used. Whether it is a huge test for the doctor's experience and technical level, it also costs a lot. Labor cost, time cost, technical cost and equipment cost. Therefore, it is possible to provide a method that can use artificial intelligence technology to establish a deep neural network. Through the training of spinal metastasis tumor CT image database, it can realize the intelligent recognition of spinal metastasis tumor spinal CT image by artificial intelligence, and realize the automatic judgment of the stability of spinal metastasis tumor Technology is essential. [0003] In view ...

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
IPC IPC(8): G06T7/00G06T7/11G06K9/62
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