Eye fundus image judgment method and equipment

A fundus image and fundus map technology, which is applied in the field of medical image processing, can solve problems such as poor detection effect and large changes in fundus images, and achieve the effect of improving accuracy

Pending Publication Date: 2019-04-19
SHANGHAI EAGLEVISION MEDICAL TECH CO LTD
View PDF6 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Because there may be differences in the fundus images of each person in a normal state, the fundus images of the same disease vary greatly. However, for some less obvious disease features, such as mild sugar reticulum, small drusen,

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
  • Eye fundus image judgment method and equipment
  • Eye fundus image judgment method and equipment
  • Eye fundus image judgment method and equipment

Examples

Experimental program
Comparison scheme
Effect test

Example Embodiment

[0039] The technical solutions of the present invention will be clearly and completely described below in conjunction with the accompanying drawings. Obviously, the described embodiments are part of the embodiments of the present invention, rather than all of them. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative work shall fall within the protection scope of the present invention.

[0040] In order to be able to judge (classify, detect) the state of the fundus image, embodiments of the present invention provide a method for training a fundus image judgment model, and the trained model can be used to identify the fundus image. The method can be executed by a computer or a server, such as figure 1 The method shown includes the following steps:

[0041] S11. Acquire multiple image pairs consisting of a first fundus image and a second fundus image. The acquisition time of the first fundus image and...

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 provides an eye fundus image judgment method and eye fundus image judgment equipment. The eye fundus image judgment method comprises the following steps: acquiring a to-be-judged eye fundus image of a user; Obtaining a reference fundus image associated with the fundus image to be judged, wherein the reference fundus image is a fundus image with a known state being normal; Generatinga difference image according to the to-be-judged fundus image and the reference fundus image; And taking the differential image as input data of a machine learning model, enabling the machine learningmodel to output a judgment result of the to-be-judged fundus image, and training the machine learning model by using the training differential image and corresponding label data.

Description

technical field [0001] The invention relates to the field of medical image processing, in particular to a fundus image judgment method and equipment. Background technique [0002] With the rapid development of image acquisition and storage technology and deep learning, deep learning has penetrated into various fields of society. In the medical field, due to the serious shortage of medical resources in my country, the detection and screening of medical images through deep learning and other cutting-edge technologies has become a very popular research field. The number of diabetic patients in China has exceeded 130 million, among which the number of diabetic retinopathy patients is about 30 million. Diabetic retinopathy has a very high probability of blindness after the progression of diabetic retinopathy. If screening, diagnosis and treatment of diabetic retinopathy are carried out at an early stage, the risk of blindness of patients can be reduced by 94.4%. [0003] The 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
IPC IPC(8): G06T7/00G16H50/20
CPCG06T7/0014G06T2207/20224G06T2207/30041G16H50/20
Inventor 庞新强赵昕张大磊
Owner SHANGHAI EAGLEVISION MEDICAL TECH CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products