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

Information association method for eye image and symptom information

An information association and eye image technology, applied in the field of medical systems, can solve problems such as physical trauma and infection of the subject

Pending Publication Date: 2021-09-10
CAPITALBIO CORP
View PDF0 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The most important thing is that this diagnostic method is an invasive diagnosis, which not only brings physical trauma to the subject, but also easily causes infection in the subject

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
  • Information association method for eye image and symptom information
  • Information association method for eye image and symptom information
  • Information association method for eye image and symptom information

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0059] figure 1 It is a flowchart of a method for associating eye image and symptom information in an embodiment of the present application.

[0060] Such as figure 1 As shown, the information association method provided in this embodiment includes the following steps:

[0061] S1. Collect image samples.

[0062] The image samples include the binocular eye image images of the diabetic population and the binocular eye image images of the normal population, and the demographic information includes the demographic information of the diabetic population and the demographic information of the normal population. The binocular eye images here include the upper view image, the lower view image, the left view image and the right view image of both eyes, such as figure 2 shown. It is worth pointing out that since the image samples are those of the diabetic population and the normal population, the number of image samples here needs to be large enough.

[0063] S2. Preprocessing th...

Embodiment 2

[0092] Figure 8 It is a block diagram of an information association device for eye image and symptom information according to an embodiment of the present application.

[0093] Such as Figure 8 As shown, the information association device provided in this embodiment includes a data collection module 10 , a data preprocessing module 20 , a model training module 30 , a model processing module 40 and a classification execution module 50 .

[0094] The data collection module is used to collect image samples.

[0095] The image samples include the binocular eye image images of the diabetic population and the binocular eye image images of the normal population, and the demographic information includes the demographic information of the diabetic population and the demographic information of the normal population. The binocular eye images here include the upper view image, the lower view image, the left view image and the right view image of both eyes, such as figure 2 shown. I...

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 information association method and device for an eye image and symptom information. The method specifically comprises the following steps: collecting an image sample; preprocessing the image sample to obtain the eye image; training a deep residual neural network by using a training sample set to obtain a multi-view multi-stage image-level classifier; establishing a diabetes sample-level classifier based on the image-level classifier in a mode of extracting high-dimensional features of the image; performing statistical analysis on the image samples to obtain an important eye image area associated with the symptom information in each image sample; and calculating an important reference region corresponding to the symptom information according to the image level classifier. Specifically, according to the technical scheme of the application, an information processing scheme can be provided for a doctor, and invasive diagnosis does not need to be carried out on a subject, so that the body injury to the subject is avoided, and infection of the subject can be avoided.

Description

technical field [0001] The present application relates to the technical field of medical systems, and more specifically, to an information association method and device for eye image and symptom information. Background technique [0002] For a long time, traditional medicine represented by traditional Chinese medicine has focused on the macro level of the "outside" in diagnosis methods, such as looking, smelling, asking, and feeling; while modern medicine focuses on the microcosm of the "inside" such as biochemistry, immunity, molecules, and genes. At the same level, in order to achieve an accurate diagnosis of "exterior and interior", it should be an accurate diagnosis combining tradition and modernity, and it should be an accurate diagnosis combining macro and micro. Only when the true sense of "exterior and interior are the same" can we realize the true sense of precise health management. [0003] Traditional medicine believes that the slight color changes of the human b...

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): G06K9/00G06K9/32G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06N3/045G06F18/241G06F18/214
Inventor 张智曹晨思程京
Owner CAPITALBIO CORP
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