Fundus macula locating method, device and system and storage medium

A positioning method and macular technology, applied in the field of deep learning, can solve the problems of low positioning accuracy, low work efficiency, low applicability, etc., and achieve the effects of high work efficiency, improved accuracy, and good applicability

Active Publication Date: 2019-04-23
北京致远慧图科技有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Therefore, the embodiment of the present invention provides a method, device, system, and storage medium for locating the fundus mac

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  • Fundus macula locating method, device and system and storage medium
  • Fundus macula locating method, device and system and storage medium
  • Fundus macula locating method, device and system and storage medium

Examples

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Example Embodiment

[0049] The following specific examples illustrate the implementation of the present invention. Those familiar with this technology can easily understand the other advantages and effects of the present invention from the content disclosed in this specification. Obviously, the described embodiments are part of the embodiments of the present invention. , Not all examples. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative work shall fall within the protection scope of the present invention.

[0050] Embodiment 1 of the present invention provides a method for locating the fundus macula, specifically as figure 1 As shown, the method includes:

[0051] Step 110: Determine the optic disc area, at least one candidate macular area and the confidence level corresponding to each candidate macular area in the fundus image.

[0052] In some embodiments, the confidence level corresponding to the optic disc area,...

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Abstract

The embodiment of the invention relates to the technical field of image recognition and discloses a fundus macula locating method, device and system and a storage medium. The method includes the stepsof determining a visual disc area in a fundus image, at least one candidate macular area and the confidence coefficient of each candidate macular area; determining a to-be-determined macular range onthe basis of the visual disc area; screening out one or more candidate macular areas in the to-be-determined macular range from the candidate macular areas; determining the candidate macular area with the maximum confidence coefficient among the candidate macular areas in the to-be-determined macular range as a macular locating area. By means of an image recognition model, the method has the advantages of small time consumption and high applicability and working efficiency. The visual disc area is obtained through the image recognition model, and then the accuracy rate of determining the macular locating area is greatly improved on the basis of the visual disc area.

Description

technical field [0001] Embodiments of the present invention relate to the field of deep learning technology, and in particular to a method, device, system and storage medium for locating fundus and macula. Background technique [0002] The macula is an important physiological structure of the fundus and the optical center of the human eye. In fundus images, macular center localization is of great significance for the detection of diabetic retinopathy. The distance between the lesion area and the center of the macula determines the degree of impact on human vision and the severity of the lesion. Therefore, it is of great significance for macular localization. In traditional technologies, image processing methods are generally used to locate the macula, and the macula is located by features such as brightness and shape in the image or the positional relationship of physiological structures. These features will all be manually selected. The positioning of the macula depends...

Claims

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Application Information

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IPC IPC(8): A61B3/12A61B3/14G06K9/32
CPCA61B3/0033A61B3/12A61B3/14G06V40/18G06V10/245
Inventor 王家霈丁大勇
Owner 北京致远慧图科技有限公司
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