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

Image doctor visual recognition capability quantification method and system

A technology of visual recognition and quantitative methods, applied in the field of medical visual recognition, can solve the problem of no quantitative measurement method or platform for the visual recognition ability of radiologists, and achieve the effect of high specificity, high judgment sensitivity, and simple interface

Inactive Publication Date: 2018-01-26
XIDIAN UNIV
View PDF0 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

After detailed investigations and literature and patent searches, there is no method or platform for quantitatively measuring the visual recognition ability of radiologists in medical colleges and major hospital imaging departments in my country.

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 doctor visual recognition capability quantification method and system
  • Image doctor visual recognition capability quantification method and system
  • Image doctor visual recognition capability quantification method and system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0071] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0072] The train of thought of the present invention is by introducing confidence grade, and this confidence grade is divided into 5 grades: 1 represents impossibility, 2 represents improbability, 3 represents possibility, 4 represents very likely, 5 represents definite, and utilize different confidence grades ( 1 to 5) respectively as the decision threshold, greater than the decision threshold as a positive result, less than the decision threshold as a negativ...

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 doctor visual recognition capability quantification method and system. The system comprises a test database module, a subject behavior acquisition module, a behavior data output module, a data calculation module and a result display module. The test database module is used for selecting N medical image standard test images according to test requirements as images to be marked; the subject behavior acquisition module is used for subject mark images; the behavior data output module is used for recording the behavior data into an Excel form; the data calculation module is used for extracting the Excel form and calculating an image doctor visual recognition capability curve and the area under the curve; and the result display module is used for displaying the image doctor visual recognition capability curve and the area under the curve. Three core indications of the image doctor visual recognition capability is fused into one quantitative index, thereby realizing a purpose of quantitatively measuring the image doctor visual recognition capability.

Description

technical field [0001] The invention belongs to the technical field of medical visual recognition, in particular to a method and system for quantifying the visual recognition ability of radiologists. Background technique [0002] With the rapid development of medical imaging technology, medical imaging examination is widely used in clinical diagnosis and treatment. Statistics from Centers for Medicare and Medicaid Services (Centers for Medicare and Medicaid Services) in 2016 show that approximately 1.6 billion medical imaging examinations are performed worldwide each year, and this number is increasing year by year. In addition, a survey on the basic medical conditions in the United States shows that the expenditures related to medical imaging examinations (non-hardware equipment expenditures) accounted for 0.5% of the GDP of the United States in 2010 and 0.5% of the GDP of the United Kingdom in 2012. 1.2%. In our country, medical imaging examination has become an importan...

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): G06T7/00G16H30/20
Inventor 董明皓何震吴佳叶光灵陈复秀陈逸飞金晨旺梁继民
Owner XIDIAN 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