A diabetic retinopathy detection system based on serial structure segmentation

Abstract

The invention discloses a diabetic retinopathy detection system based on serial structure segmentation. wherein the fundus image acquisition device is used for acquiring a retina fundus image; the data processing device is used for analyzing and processing the acquired fundus image; A data processing apparatus includes: a data processor; Preprocessing function module, Blood vessel segmentation function module, Visual disc segmentation function module, Centrally recessed determination function module, Exudation segmentation function module, and the statistical calculation function module and the doctor diagnosis function module. The data processing device is used for counting the exudation area and calculating the probability of diabetic macular edema lesions in the input fundus image, andfinally, a final diagnosis and treatment scheme is given by combining a statistical calculation result and the fundus doctor according to the divided exudation area and disease probability and combining with the specialty of the fundus doctor. Various related physiological structures of the fundus are systematically considered, a lesion area is segmented, then a diagnosis report is given by a fundus doctor, detection is efficient, lesion detection is more accurate, the workload of the doctor can be greatly reduced, and the working efficiency is improved.

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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