Artificial intelligence cataract screening referral system based on fundus pictures

A technology of artificial intelligence and cataract, applied in the field of medical testing, can solve the problems of high labor cost and low efficiency, achieve fast and accurate screening, simple operation, and reduce the effect of low vision and blindness rate

Pending Publication Date: 2020-12-08
眼小医(温州)生物科技有限公司
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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. Howe

Method used

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  • Artificial intelligence cataract screening referral system based on fundus pictures

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Embodiment

[0031] Example: such as figure 1 As shown, an artificial intelligence cataract screening and referral system based on fundus pictures includes an acquisition and processing module 1, a model training module 2, a self-inspection repair module 3, a referral output module 4, a splicing identification module 5, and a memory recovery module 6 ;

[0032] The collection and processing module 1 is used for preliminary screening and preprocessing of the initial fundus picture. The collection and processing module 1 includes a template creation unit 10 for directly using the images in the standard fundus picture database to establish regional templates with different disease degrees, and is used for fundus picture collection. The loaded image collection unit 11, the comparison unit 12 that compares the region template created by the template creation unit 10 with the corresponding regions on the collected fundus images, and divides the fundus photos into groups according to the comparis...

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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...

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Application Information

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IPC IPC(8): G16H50/20G16H40/20G06K9/62G06N3/04G06N3/08G06T7/00
CPCG16H50/20G16H40/20G06N3/08G06T7/0012G06T2207/20081G06T2207/20084G06T2207/30041G06V2201/03G06N3/045G06F18/24G06F18/214
Inventor 陈蔚李中文蒋杰伟郑钦象
Owner 眼小医(温州)生物科技有限公司
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