Nuclear cataract recognition method and device, electronic equipment and storage medium

A recognition method and cataract technology, applied in the direction of character and pattern recognition, instruments, calculation models, etc., can solve the problem of less grading work, and achieve the effect of accurate judgment and precise diagnosis

Pending Publication Date: 2021-09-07
SOUTH UNIVERSITY OF SCIENCE AND TECHNOLOGY OF CHINA
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

These clinical research works provide clinical support for automatic nuclear cataract grading based on anterior segment OCT images, but there are few works on automatic nuclear cataract grading based on anterior segment OCT images

Method used

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  • Nuclear cataract recognition method and device, electronic equipment and storage medium
  • Nuclear cataract recognition method and device, electronic equipment and storage medium
  • Nuclear cataract recognition method and device, electronic equipment and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0023] figure 1 It is a flow chart of a nuclear cataract identification method provided by Embodiment 1 of the present invention; this embodiment is applicable to the situation of nuclear cataract identification, and the method can be executed by a nuclear cataract identification device, which can be implemented by software / hardware Realized, and can be integrated in the electronic equipment carrying nuclear cataract identification function, such as server equipment.

[0024] Such as figure 1 As shown, the method may specifically include:

[0025] S110. Extract regional features of the lens nuclear area in the sample eye image, and extract shape features of the lens nuclear area in the sample eye image, and determine target features of the sample eye image according to the area feature and shape feature.

[0026] In this embodiment, the sample fundus image refers to a pre-acquired clinical fundus image in ophthalmology, for example, an eye AS-OCT image, including normal eye ...

Embodiment 2

[0055] figure 2 It is a flow chart of a nuclear cataract identification method provided in Embodiment 2 of the present invention; on the basis of the above embodiments, further optimize "determining the target features of the sample eye image according to the regional characteristics and shape characteristics" to provide a an optional implementation.

[0056] Such as figure 2 As shown, the method may specifically include:

[0057] S210. Extract regional features of the nuclear lens area in the sample eye image, and extract shape features of the nuclear lens area in the sample eye image.

[0058] S220. Determine candidate features of the sample eye image according to the region feature and the shape feature.

[0059] In this embodiment, the regional features and shape features of the lens nuclear area in the sample eye image are used as candidate features of the sample eye image. For example, the 56-dimensional vector features obtained in the above embodiments may be used...

Embodiment 3

[0067] image 3 It is a schematic structural diagram of a nuclear cataract identification device provided by Embodiment 3 of the present invention; this embodiment is applicable to nuclear cataract identification, and the device can be realized by software / hardware, and can be integrated into a nuclear cataract identification function electronic equipment, such as server equipment.

[0068] Such as image 3 As shown, the device may include a target feature determination module 310 and a recognition model construction module 320, wherein,

[0069] The target feature determination module 310 is used to extract the regional features of the lens nuclear area in the sample eye image, and extract the shape features of the lens nuclear area in the sample eye image, and determine the sample eye image according to the regional features and shape features. target features;

[0070] The identification model construction module 320 is configured to construct a nuclear cataract identifi...

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PUM

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Abstract

The invention discloses a nuclear cataract recognition method and device, electronic equipment and a storage medium, and belongs to the technical field of artificial intelligence. The method comprises the following steps: extracting region features of a crystalline lens nuclear region in a sample eye image, extracting shape features of the crystalline lens nuclear region in the sample eye image, and determining target features of the sample eye image according to the region features and the shape features; and based on the target features of the sample eye image, constructing a nuclear cataract recognition model for determining the nuclear cataract level of the to-be-recognized eye image. According to the technical scheme, the lesion features of the crystalline lens nuclear region in the fundus image can be accurately obtained, so that the judgment of the nuclear cataract level is more accurate, a new thought is provided for automatic diagnosis of the nuclear cataract, and an ophthalmologist can be assisted to efficiently, objectively and accurately diagnose the nuclear cataract.

Description

technical field [0001] Embodiments of the present invention relate to the technical field of artificial intelligence, in particular to the technical field of image processing, and in particular to a nuclear cataract identification method, device, electronic equipment, and storage medium. Background technique [0002] Nuclear cataract is a major blinding and vision-impairing ophthalmic disease. The clinical symptoms are cloudy and gradually hardening and darkening in the nuclear area of ​​the lens. Early intervention and cataract surgery can effectively improve the vision and quality of life of cataract patients. Anterior segment optical coherence tomography (AS-OCT) is a kind of optical coherence tomography (OCT). AS-OCT images have the characteristics of non-contact, high detection sensitivity, fast, high resolution, fast inspection, objective and quantitative measurement, and can obtain the entire lens structure. [0003] In basic clinical research, scholars have studied...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/46G06K9/62G06N20/00
CPCG06N20/00G06F18/241
Inventor 刘江章晓庆东田理沙
Owner SOUTH UNIVERSITY OF SCIENCE AND TECHNOLOGY OF CHINA
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