Artificial intelligence cataract screening referral system based on fundus pictures

Abstract

The invention provides an artificial intelligence cataract screening referral system based on fundus pictures. The artificial intelligence cataract screening referral system comprises a collecting andprocessing module, a model training module, a self-checking and repairing module, a referral output module, a splicing identification module and a memory recovery module. The cataract screening referral system disclosed by the invention is an artificial intelligence system developed by utilizing a deep learning algorithm based on common fundus photography, is used for automatically identifying cataract and automatically grading the severity degree, and is used for realizing automatic screening and referral of the cataract of people in remote areas where ophthalmologists are relatively lack. The system reduces low vision and blinding rate caused by cataract in people, is simple to operate, can be operated by non-medical personnel, can automatically, quickly and accurately screen cataract in real time and determine the severity of cataract, and is suitable for large-scale popularization.

Description

technical field [0001] The invention belongs to the technical field of medical detection, and in particular relates to an artificial intelligence cataract screening and referral system based on fundus pictures. Background technique [0002] Cataract is currently one of the most important blinding diseases in the world. With the aging of the population, the incidence of cataract is increasing year by year. However, in remote and relatively underdeveloped rural areas, due to the lack of ophthalmologists, many cataracts have occurred and lead to vision loss. According to the sixth national census, the proportion of the rural population in my country to the national population is 50.32%. [0003] Fundus photography is used to examine morphological changes in the entire retina. The principle is to use a special camera to record the scene seen under the ophthalmoscope. Fundus photography can observe the shape of the retina, optic disc, macular area, and retinal blood vessels, as w...

AI Technical Summary

Problems solved by technology

[0004] At present, cataract screening mainly relies on doctors to manually check the patient's eyes through a slit lamp to determine whether there is cataract and whether surgical treatment is required. However, manual cataract inspection has high labor costs and relatively low efficiency. , so there is an urgent need for a system that can still perform cataract screening and referral without an ophthalmologist

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