Automatic detection method of diabetic retinopathy

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 ...

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 process takes at least one to two days, resulting in Poor communication with patients and delayed treatment

At the same time the required expertise and equipment are extremely scarce in places with high diabetes prevalence

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