Portable diabetic retinopathy diagnosis and treatment instrument

Abstract

The invention belongs to the field of ophthalmology diagnosis and treatment equipment, and particularly relates to a portable diabetic retinopathy diagnosis and treatment instrument. The portable diabetic retinopathy diagnosis and treatment instrument is composed of a detection module and a diagnosis and treatment module, the detection module comprises blood glucose detection and fundus detection, fundus images are automatically classified through a GA-BP neural network classification model in the fundus detection, the diagnosis and treatment module comprises an expert system, the expert system is composed of an expert system database, a GA-BP neural network diagnosis model and an interface display module, data of the detection module is transmitted to an expert system to be used for diagnosis analysis and treatment scheme providing, a personal file of a patient is further established, illness state data can be dynamically tracked, a targeted treatment scheme can be given, and illness state delay is avoided. The equipment has the advantages of being high in automation degree and low in misdiagnosis rate, being independent of manpower, and being capable of achieving patient data dynamic tracking and rapidly giving a targeted treatment scheme.

Description

technical field [0001] The invention belongs to the field of ophthalmic diagnosis and treatment equipment, in particular to a portable diabetic retinopathy diagnosis and treatment instrument. Background technique [0002] With the rapid development of social informatization, the penetration rate and utilization rate of electronic equipment are increasing day by day. People are highly dependent on computers, mobile phones and other devices with electronic screens in their work and life, which leads to an increasing incidence of many eye diseases, and this trend is getting younger and younger, and the diagnosis and treatment of eye diseases are getting more and more attention. Pay attention to. Diabetic retinopathy (DR) is a serious blinding eye disease at present, because long-term high blood sugar in patients will change the function of vascular endothelial cells, causing the destruction of the combination between retinal capillary endothelial cells and pigment epithelial c...

AI Technical Summary

Problems solved by technology

The use of unsupervised learning methods does provide a lot of convenience for image classification, such as manual feature extraction and avoiding misdiagnosis due to personal factors of doctors. Among diseases with a large amount of data, there are few studies on some rare diseases

[0006] Chinese patent application number: CN 202110281472.9 discloses an adaptive superpixel FCM method for image segmentation of fundus lint spots, which uses the initial clustering center optimized by combining the derived multi-population genetic algorithm, effectively avoiding the FCM The impact of the clustering center on the clustering results can solve the sensitive problem of the FCM clustering center more efficiently, so that it can accurately and efficiently detect the lint spot lesions in the fundus image, but it does not consider how to classify and give the fundus image. give an appropriate diagnosis

However, its film reading unit is used to receive the fundus images and judge the pathological changes of the retina, fundus blood vessels, optic nerve head, optic nerve fibers, macula on the retina, and choroid behind the retina. 2, 3, 4, 5 five grades, the process relies on manual experience, it is inevitable that there will be misdiagnosis, and the intelligent diagnosis unit is based on the disease stage Ci, disease duration Lj, genetic proba

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