Fundus color photo image blood vessel evaluation method and device, computer equipment and medium

Abstract

The invention relates to the technical field of disease risk assessment of digital medical treatment, and provides a fundus color photo image blood vessel evaluation method and device, computer equipment and a medium, and the method comprises the steps: extracting a retinal blood vessel image of a topological structure from a fundus color photo image through a pre-trained segmentation model; extracting a blood vessel center line in the retinal blood vessel image, setting an error band of the blood vessel center line by taking a preset standard blood vessel center line as a reference, and calculating an error of the blood vessel center line relative to the standard blood vessel center line according to the error band to obtain a blood vessel topological structure error of the retinal bloodvessel image; evaluating the fundus color photo image segmented by the segmentation model according to the vascular topological structure error, and generating an evaluation result, so as to evaluatethe integrity and accuracy of the blood vessel topological structure, and achieve a better evaluation effect.

Description

technical field [0001] The present application relates to the technical field of digital medical disease risk assessment, and in particular, the present application relates to a method, device, computer equipment and medium for assessing blood vessels in fundus color photograph images. Background technique [0002] Fundus color photography is a non-invasive, non-contact imaging technology that can directly observe retinal blood vessels, optic disc, macula and other fundus tissue structures, and is widely used in clinical screening and diagnosis of retinal fundus lesions. Among them, retinal blood vessels are the only vascular system that can be directly observed in the human body. Changes in retinal vessel morphology (such as vessel density, diameter, curvature, branch angle, etc.) are an important basis for early diagnosis and follow-up of many chronic cardiovascular diseases such as diabetes, hypertension, and kidney disease. [0003] At present, there are many studies on...

AI Technical Summary

Problems solved by technology

[0004] In order to overcome the above technical problems, especially when evaluating the accuracy of blood vessel segmentation in the prior art, the defect that the integrity of the topological structure of the blood vessel segmentation results cannot be reflected, the following technical solutions are proposed:

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