Retina vessel curvature determination method

A retinal blood vessel and determination method technology, applied in the field of retinal blood vessel curvature determination, can solve the problem that the recognition efficiency of retinal blood vessel curvature needs to be improved, etc.

Active Publication Date: 2019-04-26
合肥奥比斯科技有限公司
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Problems solved by technology

[0003] Most of the current fundus image recognition methods use the fundus camera to obtain the fundus image, and then rely on the naked eye to identify changes in the curvature of retinal blood vessels, and the recognition efficiency of retinal blood vessel curvature needs to be improved

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  • Retina vessel curvature determination method
  • Retina vessel curvature determination method
  • Retina vessel curvature determination method

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Embodiment Construction

[0027] Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numerals in different drawings refer to the same or similar elements unless otherwise indicated. The implementations described in the following exemplary examples do not represent all implementations consistent with the present invention. Rather, they are merely examples of apparatuses and methods consistent with aspects of the invention as recited in the appended claims.

[0028] An embodiment of the present invention provides a method for determining the curvature of retinal vessels, which can quickly and accurately extract fundus images and optic discs through a pre-trained deep learning neural network.

[0029] like figure 1 As shown, the embodiment of the present invention provides a method for determining the curvature of retinal blood vessels, including:

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Abstract

The embodiment of the invention discloses a retinal vessel curvature determination method, which comprises the following steps of: constructing a full convolutional deep neural network, and segmentinga vessel and an optic disc in a target fundus image from an acquired target fundus image by applying the full convolutional deep neural network. According to the blood vessel and the optic disc in the target fundus image, the bending degree of the blood vessel in the target fundus image is determined, the retinal vessel bending degree is automatically determined based on the full convolution depth neural network, and therefore the retinal vessel bending degree recognition efficiency can be improved.

Description

technical field [0001] The invention relates to the field of computers, in particular to a method for determining the curvature of retinal blood vessels. Background technique [0002] With the development of science and technology, it is now possible to conduct relevant analysis through the various characteristics and details reflected in the structure and organization in medical images. For example, fundus images contain rich details such as vitreous, retina, vascular network, and choroid. Under normal circumstances, the shape and structure of retinal blood vessels are always in a stable state. However, cardiovascular and cerebrovascular diseases such as hypertension, diabetes and coronary arteriosclerosis can cause structural changes such as retinal vessel curvature. If changes in retinal vascular curvature can be detected early, measures can be taken in time to prevent the harm of these diseases. [0003] Most of the current fundus image recognition methods use the fun...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T7/10
CPCG06T7/0012G06T7/10G06T2207/20081G06T2207/20084G06T2207/30041G06T2207/30101
Inventor 刘磊
Owner 合肥奥比斯科技有限公司
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