A cloud retina OCT recognition intelligent diagnosis system based on a software and hardware platform and a use method thereof

Abstract

The invention provides a cloud retina OCT recognition intelligent diagnosis system based on a software and hardware platform and a use method thereof. The cloud retina OCT recognition intelligent diagnosis system comprises an optical coherence tomography scanner, a doctor client computer, a cloud retina OCT recognition server and a switch. Wherein the optical coherence tomography scanner is connected with the doctor client computer, and the doctor client computer is connected with the cloud retina OCT recognition server through the switch. The choroid neovascularization identification method can rapidly and correctly identify choroid neovascularization, Diabetic macular edema, an OCT image of verruca vitricola and normal retina. The ophthalmic retina OCT cloud server intelligent diagnosissystem based on the embedded software and hardware platform provided by the invention can screen and prevent diseases before diagnosis, assist diagnosis of medical images during diagnosis, analyze examination results, assist operation, and perform medical follow-up visit, chronic disease monitoring, rehabilitation assistance, health management and the like after diagnosis.

Description

technical field [0001] The present invention relates to an intelligent diagnosis system and its use method, in particular to a software and hardware platform-based cloud retinal OCT recognition intelligent diagnosis system and its use method. Background technique [0002] At present, there are problems in my country's medical field such as uneven distribution of medical resources in various regions, high rate of misdiagnosis and missed diagnosis, high medical costs, insufficient supply and demand of doctor resources, and long doctor training cycle. In the medical data, medical imaging accounts for more than 90% of the proportion, but the number of medical imaging doctors in my country is far behind the growth rate demand of medical data volume. The supply and demand problem of high-quality doctor resources is especially serious in the imaging department and pathology department. The overload of work has led to increasing pressure on medical staff, and the rate of misdiagnosi...

AI Technical Summary

Problems solved by technology

The supply and demand problem of high-quality doctor resources is especially serious in the imaging department and pathology department. The overload of work has led to increasing pressure on medical staff, and the rate of misdiagnosis and missed diagnosis has increased accordingly. Medical equipment is far from comparable to large hospitals in terms of quality and quantity

In addition, relying on artificial subjective analysis and empirical judgment, it is difficult to effectively reduce the rate of misdiagnosis and missed diagnosis due to the limitation of doctors' experience level, medical cost, medical facilities and other factors.

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