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

Anterior segment physiological age prediction method and device, server and storage medium

A prediction method and anterior segment technology, applied in the field of image processing, can solve problems such as poor practicability and failure to verify the relationship between physiological age and specific diseases, and achieve the effect of improving accuracy.

Pending Publication Date: 2020-10-30
SOUTH UNIVERSITY OF SCIENCE AND TECHNOLOGY OF CHINA
View PDF0 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Existing studies have extracted age features from fundus images and performed age prediction, but have not verified the relationship between the predicted physiological age and specific diseases, so the practicability is not strong

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
  • Anterior segment physiological age prediction method and device, server and storage medium
  • Anterior segment physiological age prediction method and device, server and storage medium
  • Anterior segment physiological age prediction method and device, server and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0039] figure 1 It is a schematic flowchart of a method for predicting the physiological age of the anterior segment provided by Embodiment 1 of the present invention. The embodiment of the present invention is applicable to the situation of predicting the physiological age. The method of the embodiment of the present invention can be executed by an anterior segment physiological age prediction device, which can be realized by software and / or hardware, and can generally be integrated into a server or a terminal device. refer to figure 1 , a method for predicting anterior segment physiological age according to an embodiment of the present invention, specifically comprising the following steps:

[0040] Step S110, acquiring an anterior segment optical coherence tomography image of the user's eye to be tested.

[0041] Specifically, the Anterior Segment Optical Coherence Tomography (AS-OCT) image is an image obtained by using the optical interference method for two-dimensional ...

Embodiment 2

[0075] The device for predicting the physiological age of the anterior segment provided in Embodiment 2 of the present invention can execute the method for predicting the physiological age of the anterior segment provided in any embodiment of the present invention, and has corresponding functional modules and beneficial effects for executing the method. The device can be composed of It is implemented in the form of software and / or hardware (integrated circuits), and generally can be integrated into servers or terminal devices. Figure 4 It is a schematic structural diagram of an anterior segment physiological age prediction device 400 in Embodiment 2 of the present invention. refer to Figure 4 , an anterior segment physiological age prediction device 400 according to an embodiment of the present invention may specifically include:

[0076] An image acquisition unit 410, configured to acquire an anterior segment optical coherence tomography image of the eye of the user to be ...

Embodiment 3

[0094] Figure 5 A schematic structural diagram of a server provided by Embodiment 3 of the present invention, such as Figure 5 As shown, the server includes a processor 510, a memory 520, an input device 530, and an output device 540; the number of processors 510 in the server can be one or more, Figure 5 Take a processor 510 as an example; the processor 510, memory 520, input device 530 and output device 540 in the server can be connected by bus or other methods, Figure 5 Take connection via bus as an example.

[0095] The memory 520, as a computer-readable storage medium, can be used to store software programs, computer-executable programs and modules, such as program instructions / modules corresponding to the method for predicting the physiological age of the anterior segment in the embodiment of the present invention (for example, the physiological age of the anterior segment image acquisition unit 410 and age prediction unit 420 in the prediction device 400). The pr...

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 embodiment of the invention discloses an anterior segment physiological age prediction method and device, a server and a storage medium. The method comprises: acquiring an anterior segment opticalcoherence tomography image of an eye of a user to be measured; and inputting the anterior segment optical coherence tomography image of the eye of the user to be tested into a pre-trained neural network model, and outputting the anterior segment physiological age of the to-be-tested user, the pre-trained neural network model being a neural network model obtained after training by using an anterior segment optical coherence tomography image. According to the technical scheme of the embodiment of the invention, the anterior segment physiological age is predicted through the neural network model, and the anterior segment optical coherence tomography image marked with the age is used for training, so that the accuracy of anterior segment physiological age prediction is improved, and the monitoring of body abnormality and the judgment of early diseases are facilitated.

Description

technical field [0001] The embodiments of the present invention relate to the technical field of image processing, and in particular to a method, device, server and storage medium for predicting the physiological age of the anterior segment. Background technique [0002] Actual age, that is, the chronological age determined and calculated from the date of birth, is just a concept of time. In order to better represent people's physiological development level and body state, someone put forward the concept of biological age. Biological age is the age measured from the perspective of medicine and biology. It indicates the degree of growth, maturity or aging of a person, and is the age performance of a person's physical condition. Therefore, physiological age can indirectly reflect a person's physical health status, and at the same time, it is of great significance for the monitoring of abnormalities in the body and the judgment of early diseases. [0003] The shape of the hum...

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
IPC IPC(8): G06T7/00G06N3/08G06N3/02
CPCG06T7/0012G06N3/08G06N3/02G06T2207/10101G06T2207/20081G06T2207/20084G06T2207/30041
Inventor 刘江郭梦洁刘鹏东田理沙
Owner SOUTH UNIVERSITY OF SCIENCE AND TECHNOLOGY OF CHINA
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