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

An intelligent analysis method and system for ultrasound thyroid nodule risk index

A technology of thyroid nodules and risk indicators, applied in the information field, can solve problems such as analysis and evaluation of practical application needs, failure to adapt to nodular lesions, etc., and achieve high robustness, low error rate, and good sensitivity

Active Publication Date: 2020-10-09
GENERAL HOSPITAL OF PLA +1
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, this scheme is only specially designed for breast tumors, and cannot meet the actual application needs of analyzing and evaluating nodular lesions in other tissues including the thyroid gland

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
  • An intelligent analysis method and system for ultrasound thyroid nodule risk index
  • An intelligent analysis method and system for ultrasound thyroid nodule risk index
  • An intelligent analysis method and system for ultrasound thyroid nodule risk index

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0047] Below in conjunction with accompanying drawing, further describe the present invention through embodiment, but do not limit the scope of the present invention in any way.

[0048] The invention provides an intelligent analysis method and system for ultrasound thyroid nodule risk indicators, based on ultrasound data, using a deep neural network to quantitatively analyze the risk indicators of thyroid nodules; the invention has high robustness and good sensitivity, and can be used in large scale clinical use.

[0049] figure 1 The structure and flow of the thyroid nodule quantitative analysis method and system based on the deep neural network provided by the present invention are illustrated. The system includes an encoding module 1, a sliding window module 2, a self-encoding module 3, a multi-channel information fusion module 4 and a user interaction module 5.

[0050] Among them, the encoding module 1 is connected with the ultrasonic acquisition instrument, reads the ...

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 intelligent analysis method and system for ultrasound thyroid nodule risk indicators. Based on ultrasound data, a deep neural network is used to quantitatively analyze the risk indicators of thyroid nodules; including: acquiring image data and statistical data; node recognizer, get the result of the output layer, perform cluster analysis, and get the cluster center; input the cluster center into the input layer of the depth autoencoder for deep learning to obtain the depth feature data; the depth can be optimized through the regularization optimization method based on thyroid characteristics Self-encoder; use the deep feature data, and then request additional information from the user; input the additional information and deep feature data into the classifier, analyze it based on the artificial neural network, and obtain the nodule risk index. The invention has high robustness and good sensitivity, and can be used in large-scale clinical use.

Description

technical field [0001] The invention belongs to the field of information technology, and relates to a quantitative evaluation technology of thyroid ultrasound data, in particular to a method and system for quantitative analysis of thyroid nodule risk indicators based on a deep neural network of ultrasound data. Background technique [0002] Thyroid nodules have long relied on the subjective evaluation of ultrasound images by sonographers through the human eye. Although the existing technology uses some semi-quantitative evaluation indicators, it still cannot solve most of the evaluation needs. Physicians often use some subjective narratives in mutual communication and learning, which are prone to misunderstanding. Therefore, there is an urgent need for an efficient, stable, and repeatable quantitative evaluation tool. [0003] Among the existing techniques for analyzing and evaluating nodular lesions, Chinese Patent Invention 201010514921.1 describes a quantitative image e...

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): G06K9/62G06N3/08G16H50/30
CPCG06N3/08G06F18/23
Inventor 罗渝昆张明博张诗杰杜华睿张珏方竞
Owner GENERAL HOSPITAL OF PLA
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