Keratoconus recognition method and device

A technology of keratoconus and identification methods, applied in the field of medical data identification, can solve the problems of information loss, information loss, accuracy to be improved, etc., achieve high accuracy and improve work efficiency

Active Publication Date: 2020-12-04
北京鹰瞳远见信息科技有限公司
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  • Abstract
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  • Application Information

AI Technical Summary

Problems solved by technology

Although this data conversion step is convenient for doctors to evaluate with the naked eye, there is a certain degree of information loss. Some information that cannot be detected by the naked eye is missing during the color conversion of the original data to the topographic map
Therefore, the existing keratoconus identification methods are inefficient and the accuracy needs to be improved

Method used

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  • Keratoconus recognition method and device
  • Keratoconus recognition method and device
  • Keratoconus recognition method and device

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Embodiment Construction

[0039] The technical solutions of the present invention will be clearly and completely described below in conjunction with the accompanying drawings. Apparently, the described embodiments are some of the embodiments of the present invention, but not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0040] In the description of the present invention, it should be noted that the technical features involved in the different embodiments of the present invention described below can be combined as long as they do not constitute conflicts with each other.

[0041] An embodiment of the present invention provides a keratoconus recognition model training method, which can be executed by electronic devices such as computers or servers, and trains a neural network model that can specifically classify keratoconus thro...

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Abstract

The invention provides a keratoconus recognition method and device, and the method comprises the steps: taking various types of corneal morphological data as the input data of a neural network, extracting the high-dimensional features of the data for classification, obtaining a classification result related to various types of keratoconus, and converting the manual observation of corneal topographic map data into a machine recognition process. According to the method, the neural network is used for replacing manual work to subdivide the types of the keratoconus, reference information used fordiagnosis is rapidly and accurately provided, and therefore the working efficiency of doctors can be improved, and high accuracy is achieved.

Description

technical field [0001] The invention relates to the field of medical data identification, in particular to a keratoconus identification method and equipment. Background technique [0002] Keratoconus is an eye disease characterized by corneal dilatation, central thinning, protruding forward, and conical shape. It is a contraindication for myopia correction surgery. Such as figure 1 As shown, the normal cornea is on the left and the keratoconus is on the right. [0003] Such as figure 2 As shown, corneal topography is a technology that displays a series of corneal surface data such as curvature and thickness collected by professional instruments in the form of topographic maps for judging the severity of keratoconus. The number of people who are willing to undergo myopia correction surgery is increasing year by year, and all people who intend to undergo myopia correction surgery need to evaluate the corneal shape through corneal topography. [0004] In clinical diagnosis...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06N3/04A61B3/10A61B3/107
CPCG06N3/04A61B3/10A61B3/107G06F18/2415G06F18/214
Inventor 李明周喆媛郭子扬熊健皓戈宗元赵昕和超张大磊
Owner 北京鹰瞳远见信息科技有限公司
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