Automatic detection method of diabetic retinopathy

A technology for automatic detection of retinopathy, applied in the field of image recognition, to solve problems such as delayed treatment, scarcity, and poor patient communication

Inactive Publication Date: 2018-08-17
艾视医疗科技成都有限公司
View PDF12 Cites 9 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Currently, diabetic retinopathy detection is a manual and time-consuming process that requires an experienced clinician to examine and evaluate digital color fundus photographs of the retina, but the evaluation...

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
  • Automatic detection method of diabetic retinopathy
  • Automatic detection method of diabetic retinopathy
  • Automatic detection method of diabetic retinopathy

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0043] Specific embodiments of the present invention will be described below in conjunction with the accompanying drawings, so that those skilled in the art can better understand the present invention. It should be noted that in the following description, when detailed descriptions of known functions and designs may dilute the main content of the present invention, these descriptions will be omitted here.

[0044] figure 1 It is a flow chart of a specific embodiment of the automatic detection method for diabetic retinopathy of the present invention.

[0045] In this example, if figure 1 As shown, the diabetic retinopathy automatic detection method of the present invention comprises the following parts:

[0046] Data acquisition, constructing datasets. We crawled 88,702 retinal images from the Internet, including fundus images without lesions and fundus images with different degrees of lesions. Among them, the data is divided into 3 parts, the training set is 50%, the verif...

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 automatic detection method of diabetic retinopathy. According to the method, firstly, medical ocular fundus images are preprocessed to generate feature vectors correspondingto all the ocular fundus images; then a clustering algorithm is applied to carry out clustering on all the ocular fundus images on the basis of the feature vectors corresponding to the ocular fundusimages, and the same are defined as ocular fundus images of different patterns; then reference feature space is established on the basis of the feature vectors, which correspond to the ocular fundus images of different lesion periods and the different patterns, to obtain feature codes thereof in the reference feature space; and finally, automatic detection on the diabetic retinopathy is realized through calculating cosine similarity between feature codes of a to-be-detected ocular fundus image and the ocular fundus images with labels. According to the method, the image clustering algorithm iscombined to establish the reference feature space of the retinal ocular fundus images of the different lesion periods and the different patterns and feature code mapping thereof on the basis of the retinal ocular fundus images and the labels which can be crawled on a network, and accuracy and timeliness of automatic detection of the diabetic retinopathy are effectively improved.

Description

technical field [0001] The invention belongs to the technical field of image recognition, and more specifically, relates to an automatic detection method for diabetic retinopathy Background technique [0002] Diabetes is a worldwide disease that can lead to many complications. Up to now, there are 415 million people suffering from diabetes in the world, and it is still on the rise. It is estimated that the number will reach 642 million in 2040, and my country's diabetic patients account for the proportion of the world. 150 million. Among them, diabetic retinopathy is one of the most serious complications of diabetes, which is caused by damage to blood vessels caused by high blood sugar, and can show a series of symptoms, such as microangioma, hemorrhage and exudate. [0003] Diabetic retinopathy should be diagnosed and treated as soon as possible. Retinopathy screening is an effective, low-cost and important early diagnosis method. At present, the screening of retinopathy ...

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): G06K9/62G06K9/46G16H30/20G16H50/20
CPCG16H30/20G16H50/20G06V10/44G06F18/22G06F18/23G06F18/2411
Inventor 陈洪刚
Owner 艾视医疗科技成都有限公司
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