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Eye fundus image quality evaluation method and device based on double models, and related medium

An image quality evaluation and fundus image technology, applied in the field of image processing, can solve problems such as the degradation of fundus image quality and the impact of fundus disease diagnosis, and achieve the effect of improving the effect of quality evaluation

Active Publication Date: 2022-08-09
SHENZHEN UNIV
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  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, the quality of fundus images is often affected by changes in equipment, operators and the environment, resulting in varying degrees of degradation of fundus image quality, and the degradation of fundus image quality will affect clinicians' diagnosis of fundus diseases

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  • Eye fundus image quality evaluation method and device based on double models, and related medium
  • Eye fundus image quality evaluation method and device based on double models, and related medium
  • Eye fundus image quality evaluation method and device based on double models, and related medium

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Embodiment Construction

[0025] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0026] It is to be understood that when used in this specification and the appended claims, the terms "comprising" and "comprising" indicate the presence of the described features, integers, steps, operations, elements and / or components, but do not exclude one or The presence or addition of a number of other features, integers, steps, operations, elements, components, and / or sets thereof.

[0027] It should also be understood that the termin...

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Abstract

The invention discloses a dual-model-based fundus image quality evaluation method and device and a related medium, and the method comprises the steps: obtaining a batch of fundus images, and selecting a target image; extracting first local information from the target image by using a ResNet50 network, and extracting first global information from the target image by using a ViT network; predicting based on the first local information and the first global information to obtain an image quality evaluation result of the target image so as to construct an image quality evaluation model; evaluating the next image by using the image quality evaluation model to obtain image quality difference information; and utilizing a loss function to respectively constrain the image quality evaluation result and the image quality difference information. According to the method, multi-task learning is carried out on the fundus image based on double models, the fundus image is evaluated in a local and global combined mode, and meanwhile, the quality evaluation effect of the fundus image is improved by utilizing difference information between different fundus images.

Description

technical field [0001] The present invention relates to the technical field of image processing, in particular to a method, device and related medium for evaluating the quality of fundus images based on dual models. Background technique [0002] Fundus images are captured by ophthalmologists through professional fundus cameras, including optic cup, optic disc, macula, exudates and retinal blood vessels and other physiological structures. It is an important medical image and is widely used in auxiliary medical diagnosis. The current clinical diagnosis of fundus diseases is mainly made by ophthalmologists through observation and analysis of the patient's fundus images or eyeballs to make subjective judgments, by observing whether there are hard exudates, soft exudates, microaneurysms and Bleeding can help determine whether a patient has diabetic retinopathy, and glaucoma can be judged by observing the size and position of the optic disc in the fundus image. Cardiovascular dis...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06V10/44G06V10/42G06V10/82G06N3/04G06N3/08
CPCG06T7/0012G06V10/44G06V10/42G06V10/82G06N3/08G06T2207/30041G06T2207/30168G06T2207/20084G06T2207/20081G06V2201/03G06N3/048G06N3/045
Inventor 岳广辉李苑汪天富周天薇武泓吕魏佩珊
Owner SHENZHEN UNIV
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