A Diabetic Retinopathy Detection System Based on Sequential Structural Segmentation

Abstract

The invention discloses a diabetic retinopathy detection system based on serial structure segmentation, comprising: a fundus image acquisition device for acquiring retinal fundus images and a data processing device for analyzing and processing the collected fundus images, and the data processing device includes: a preprocessing function Module, blood vessel segmentation function module, optic disc segmentation function module, fovea determination function module, exudation segmentation function module, statistical calculation function module and doctor diagnosis function module, count the exudation area and calculate the presence of diabetic macular edema in the input fundus image Finally, combined with the results of statistical calculations, the fundus doctor will give the final diagnosis and treatment plan by referring to the segmented exudate area and disease probability, combined with his own specialty. The present invention systematically considers various related physiological structures of the fundus, segments out the lesion area and then gives a diagnosis report by the fundus doctor, which is efficient in detection and more accurate in detecting the lesion, which can greatly reduce the workload of doctors and improve work efficiency.

Description

technical field [0001] The invention belongs to the field of machine vision and medical image computer processing, in particular to a diabetic retinopathy detection system based on serial structure segmentation. Background technique [0002] Diabetic retinopathy is one of the four leading causes of blindness worldwide. In 2017, the International Diabetes Federation (IDF) released the eighth edition of the global diabetes map. According to IDF data, the number of adults with diabetes worldwide has reached 425 million, and it is expected to reach 629 million by 2045. my country is the country with the largest number of diabetic patients in the world, and the number and incidence of diabetes have increased significantly in recent years. Among the affected population, 35% of the diabetic population has diabetic retinopathy. Diabetic retinopathy (DR) is mainly divided into two categories: non-proliferative retinopathy (NPDR) and proliferative retinopathy (PDR) according to the ...

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Problems solved by technology

[0005] The purpose of the present invention is to solve the problem that most of the current detection of diabetic macular edema lesions is only for the detection of hard exudates alone, and cannot fully consider its relationship with other structures, such as the optic disc, macula, blood vessels, etc., in the fundus image. It is difficult to accurately and efficiently detect the data of diabetic retinopathy area, and a diabetic retinopathy detection system based on serial structure segmentation is proposed to realize systematic and comprehensive detection of diabetic retinopathy

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