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

Progress-stage gastric cancer edge state recognition system based on CT image omics characteristics

A radiomics, CT image technology, applied in the field of image recognition

Pending Publication Date: 2021-02-26
THE AFFILIATED HOSPITAL OF QINGDAO UNIV +3
View PDF6 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The embodiment of the present invention provides a system for identifying the borderline state of advanced gastric cancer based on radiomics features of CT images, so as to solve the problem of manually identifying the borderline state of advanced gastric cancer in the prior art

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
  • Progress-stage gastric cancer edge state recognition system based on CT image omics characteristics
  • Progress-stage gastric cancer edge state recognition system based on CT image omics characteristics
  • Progress-stage gastric cancer edge state recognition system based on CT image omics characteristics

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0043] The following description and the accompanying drawings sufficiently illustrate specific embodiments herein to enable those skilled in the art to practice them. Portions and features of some embodiments may be included in or substituted for those of other embodiments. The scope of the embodiments herein includes the full scope of the claims, and all available equivalents of the claims. Herein, the terms "first", "second", etc. are only used to distinguish one element from another element without requiring or implying any actual relationship or order between these elements. In fact the first element can also be called the second element and vice versa. Furthermore, the terms "comprising", "comprising" or any other variation thereof are intended to cover a non-exclusive inclusion such that a structure, means or apparatus comprising a series of elements includes not only those elements but also other elements not expressly listed elements, or also elements inherent in th...

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 belongs to the technical field of image recognition, and discloses a progress-stage gastric cancer edge state recognition system based on CT image omics features, and the system comprises a feature extraction network, a region generation network, and a target detection network. The feature extraction network is used for abstracting an input CT image with a drawn ROI and extracting animage omics feature; the region generation network selects an image omics feature by using a Pearson correlation analysis algorithm, establishes a Pearson correlation matrix, calculates paired imageomics feature correlation coefficients, selects an image omics feature with a maximum absolute correlation coefficient average value, and screens an optimal image omics feature by using an SFFS algorithm; the target detection network is used for predicting the positive probability of edge cutting. The system provided by the invention can identify microscopic medical image information which cannotbe identified by naked eyes, can accurately identify the infiltration depth of gastric cancer, and can pre-judge the preoperative excision state.

Description

technical field [0001] The present invention relates to the technical field of image recognition, in particular to an advanced gastric cancer edge state recognition system based on radiomics features of CT images, an electronic device, and a computer-readable storage medium. Background technique [0002] Gastric cancer is currently the fifth most common malignancy and the third leading cause of cancer death worldwide. The fourth edition of Japanese gastric cancer treatment guidelines pointed out that radical surgical resection is currently the only method that is expected to cure advanced gastric cancer. Accurate preoperative prediction of the surgical margin status of gastric cancer has important guiding significance for avoiding unnecessary palliative surgery and rational selection of preoperative neoadjuvant chemotherapy. Enhanced CT of the upper abdomen is the most commonly used diagnostic tool for preoperative evaluation of gastric cancer. At present, the judgment 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 Applications(China)
IPC IPC(8): G06T7/00G06T7/13G06T7/62G06K9/62G06K9/46G06K9/32
CPCG06T7/0012G06T7/13G06T7/62G06T2207/10081G06T2207/30096G06T2207/20081G06T2207/30092G06V10/25G06V10/462G06V2201/032G06V2201/07G06F18/2415
Inventor 卢云王贵英李帅刘尚龙杨斌张建李琴
Owner THE AFFILIATED HOSPITAL OF QINGDAO UNIV
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