Method for analyzing retina fundus image and related product thereof

Abstract

The invention relates to a method for analyzing a retina fundus image and a related product thereof. The method comprises the steps that a pre-trained arteriovenous segmentation model is used for processing a retina fundus image to obtain an artery segmentation result and a vein segmentation result, the artery segmentation result comprises a continuous artery network, and the vein segmentation result comprises a continuous vein network; acquiring position information of a positioning reference object in the retina fundus image; and determining structure attribute information of key points in the artery network and the vein network according to the position information of the positioning reference object, the artery segmentation result and the vein segmentation result. According to the technical scheme of the invention, the continuous artery network and vein network about the retina fundus image are utilized, and the position information of the positioning reference object is combined, so that the refined detection of the multi-dimensional structure attribute of the key point can be realized.

Description

technical field [0001] The present invention generally relates to the technical field of image processing. More specifically, the present invention relates to a method for analyzing a retinal fundus image, a device and a computer-readable storage medium for performing the foregoing method. Background technique [0002] This section is intended to provide a background or context for implementations of the invention that are recited in the claims. The descriptions herein may include concepts that could be explored, but not necessarily concepts that have been previously thought of or explored. Therefore, unless otherwise indicated herein, what is described in this section is not prior art to the description and claims in this application and is not admitted to be prior art by inclusion in this section. [0003] Cardiovascular disease is a disease that seriously threatens human health, and early identification of individuals at high risk of cardiovascular disease is the key to...

AI Technical Summary

Problems solved by technology

If the arteries and veins segmented using the traditional segmentation network (for example, the output layer shares parameters and uses a multi-category softmax activation function), there are topological discontinuities, and then the key points cannot be identified based on the discontinuous topological map. Refined detection makes the measurement result single and lacks practicability

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