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

Quality control method of medical radiography chest radiography based on artificial intelligence

A quality control method and artificial intelligence technology, applied in the field of artificial intelligence, can solve the problems of low efficiency of manual quality control and inconsistent standards, and achieve the effect of high efficiency and unified standards

Active Publication Date: 2022-05-20
辽宁万象联合医疗科技有限公司 +1
View PDF4 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In view of this, the present invention provides an artificial intelligence-based deep learning method and an artificial intelligence-based quality control method to at least solve the problems of low efficiency and inconsistent standards in manual quality control.

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
  • Quality control method of medical radiography chest radiography based on artificial intelligence
  • Quality control method of medical radiography chest radiography based on artificial intelligence
  • Quality control method of medical radiography chest radiography based on artificial intelligence

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0043] Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numerals in different drawings refer to the same or similar elements unless otherwise indicated. The implementations described in the following exemplary examples do not represent all implementations consistent with the present invention. Rather, they are merely examples of approaches consistent with aspects of the invention as recited in the appended claims.

[0044] In view of the problems of low efficiency and non-uniform standards in manual quality control in the prior art, this embodiment provides a quality control method for medical radiographic chest radiographs based on artificial intelligence. The quality control method includes two parts: 1) building and training the artificial intelligence model; 2) two parts of quality control identification.

[0045] ...

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 artificial intelligence deep learning method and an artificial intelligence-based quality control method for medical radiographic chest radiographs. The artificial intelligence deep learning method uses two parallel branches to process input data, and each branch of a branch processes input data. Each layer is processed according to the original semantic structure of the input data; each layer of the other branch passes the output data after semantic mixing to the next layer as its input data, when the processing of the two branches is completed, the two branches The results of the processing are fused together to obtain the final result. This deep learning method uses two methods to study the learning data at the same time, making the learning content more comprehensive and achieving the purpose of deep learning; in the quality control method, by using the above deep learning method The learning model is used for the quality control of chest radiographs in medical radiology, which has the advantages of high efficiency and uniform standards.

Description

technical field [0001] The present invention relates to the technical field of artificial intelligence, in particular to a method for quality control of medical radiographic chest radiographs based on artificial intelligence. Background technique [0002] Imaging examination is an important part of today's medical field. With the development and popularization of X-ray photography technology, more and more medical institutions have introduced X-ray equipment, especially DR equipment, which is widely used in various medical institutions. Various business scenarios. Among them, conventional frontal chest radiography is the most common and the most numerous. Therefore, the quality control workload of routine chest radiographs is enormous. [0003] At present, the quality control of routine orthotopic chest radiographs is mainly based on manual quality control. However, the existing manual quality control method can realize the quality control of chest radiographs, but the ef...

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): G06T7/00G06T17/00G06N3/08G06N3/04
CPCG06T7/0012G06T17/00G06N3/08G06T2207/30061G06N3/045
Inventor 刘景鑫王静石莫展豪郝富德田中生张忠祖莅惠史申刘婉华肖长斌
Owner 辽宁万象联合医疗科技有限公司
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