cataract patient visual impairment degree evaluation system based on AI technology

Abstract

The invention provides a cataract patient visual impairment degree evaluation system based on an AI technology. The cataract patient visual impairment degree evaluation system comprises an information acquisition module, a fundus image acquisition module, an image identification module, an image classification module, a disease condition evaluation module and a diagnosis and treatment suggestion module. Whether a patient suffers from cataract or not is automatically screened according to the fuzzy degree information in the mydriasis-free fundus image, and then the visual impairment degree of the fundus image marked with cataract is interpreted and graded, so that diagnosis and treatment suggestions are given in a targeted mode for patients with different degrees of visual impairment caused by cataract. According to the method, the relation between the severity of the cataract and the degree of visual impairment can be visually reflected, the accuracy of the evaluation result can be improved, and meanwhile, the process of screening the cataract through fundus photography has the advantages of being simple and rapid.

Description

technical field [0001] The invention belongs to the technical field of medical image processing, and in particular relates to an evaluation system for visual impairment degree of cataract patients based on AI technology. Background technique [0002] Cataract is the first blinding eye disease. my country is the country with the largest number of cataract patients, with more than 70 million people. At present, cataract extraction surgery is the only effective treatment. Timely diagnosis and surgical treatment can help patients avoid blindness. However, cataract diagnosis at this stage relies on limited professional ophthalmologists. According to data released by the International Council for Ophthalmology (ICO) in 2012, the total number of registered ophthalmologists in China is only 28,338, and there is only one ophthalmologist for every 60,000 people, which has not yet reached the " Vision 2020 has set a target of 1 ophthalmologist for every 50,000 people in Asia by 2020....

AI Technical Summary

Problems solved by technology

[0004] However, the current artificial intelligence system has not established the relationship between the severity of cataract and the degree of visual impairment. Therefore, it does not give targeted diagnosis and treatment opinions for patients with moderate to severe visual impairment and blindness, which will easily reduce the effect of diagnosis and treatment and delay the patient's condition; It is also easy to reduce the effectiveness of blindness prevention and treatment work, resulting in the waste or insufficient provision of medical resources

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