Fundus optic disc segmentation method based on U-Net neural network

A neural network and neural network model technology, applied in the field of fundus optic disc segmentation based on U-Net neural network, can solve problems such as misdiagnosis

Pending Publication Date: 2021-06-01
FOSHAN UNIVERSITY
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  • Description
  • Claims
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Problems solved by technology

[0005] Based on this, in order to solve the problem that the existing glaucoma diagnosis method has certain subjectivity and relies on the professional knowledge and experience of sonographe

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  • Fundus optic disc segmentation method based on U-Net neural network
  • Fundus optic disc segmentation method based on U-Net neural network

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[0029] In order to make the object, technical solution and advantages of the present invention more clear, the present invention will be further described in detail below in conjunction with its embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, and do not limit the protection scope of the present invention.

[0030] It should be noted that when an element is referred to as being “fixed” to another element, it can be directly on the other element or there can also be an intervening element. When an element is referred to as being "connected to" another element, it can be directly connected to the other element or intervening elements may also be present. The terms "vertical," "horizontal," "left," "right," and similar expressions are used herein for purposes of illustration only and are not intended to represent the only embodiments.

[0031] Unless otherwise defined, all technical and scientific t...

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Abstract

The invention provides a fundus optic disc segmentation method based on a U-Net neural network. The fundus optic disc segmentation method based on the U-Net neural network comprises the following steps: collecting a plurality of original fundus images; preprocessing the plurality of original eye fundus images; marking optic disc areas of the plurality of preprocessed original eye fundus images; constructing a U-Net neural network, and performing training verification on the original fundus image and the fundus image marked with the optic disk area by using the U-Net neural network to obtain a U-Net neural network model; and using the U-Net neural network model to identify and segment the optic disc region of the fundus image. The method can assist a doctor in obtaining an accurate and effective cup-to-disk ratio, assists the doctor in making a treatment method, accelerates the speed of distinguishing the degree of glaucoma of a patient, and reduces misdiagnosis caused by subjective factors of the doctor.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a U-Net neural network-based fundus optic disc segmentation method. Background technique [0002] Glaucoma is a common irreversible blinding eye disease. In the early stage of glaucoma disease, there are generally no obvious eye symptoms. With the development of the disease, when there is a large visual field damage, the best treatment period is often missed. Therefore, timely diagnosis and treatment of glaucoma is an important way to delay the development of the disease. Optic nerve damage in most glaucoma patients is due to the increase of intraocular pressure caused by the blockage of aqueous humor circulation in the eyeball, which exceeds the intraocular pressure limit that the optic nerve can tolerate, resulting in slow and progressive damage to the optic nerve. Glaucoma is mainly manifested as the expansion of the central bright area (cup) of the optic disc. The ...

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Application Information

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IPC IPC(8): A61B3/12A61B3/14G06K9/34G06K9/46G06K9/62G06N3/08G06T7/00
CPCA61B3/12A61B3/14G06T7/0012G06N3/08G06V10/443G06V10/267G06F18/214
Inventor 曾亚光郭学东熊红莲韩定安黄铭斌许祥丛王陆权覃楚渝刘明迪翁祥涛
Owner FOSHAN UNIVERSITY
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