Keratoconus recognition method and device based on multi-dimensional feature fusion

A keratoconus and multi-dimensional feature technology, applied in the field of medical data processing, can solve the problem of inaccurate prediction of keratoconus, achieve the effect of improving recognition accuracy, good classification effect, and improving work efficiency

Active Publication Date: 2020-05-15
ZHEJIANG UNIV
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Problems solved by technology

[0004] The purpose of the present invention is to provide a keratoconus recognition method and device based on multi-dimensional feature fusion to solve the problem of inaccurate prediction of keratoconus in practical applications

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  • Keratoconus recognition method and device based on multi-dimensional feature fusion
  • Keratoconus recognition method and device based on multi-dimensional feature fusion
  • Keratoconus recognition method and device based on multi-dimensional feature fusion

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[0033] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and 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.

[0034] see figure 1 The keratoconus recognition method based on multidimensional feature fusion of the present embodiment includes the following steps:

[0035] S101 generate data set

[0036] For a single independent sample obtained by the Pentacam anterior segment imaging system, first cut the effective area of ​​141*141, and then select the image size when the model is input according to the selected parameters to obtain a single sample, and then integrate all samples to obtain Synthesize the samples, and count the basic mean and variance information, then perform t...

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Abstract

The invention discloses a keratoconus recognition method and device based on multi-dimensional feature fusion, and the method comprises the steps: 1), carrying out the data processing through a designed standardized flow through the multi-dimensional data of a single patient, carrying out the grading of keratoconus, and dividing the keratoconus into a normal keratoconus, a subclinical keratoconusand a keratoconus; 2) constructing a multi-dimensional model, carrying out feature fusion in various modes, connecting an SE module to carry out feature recombination, and then carrying out model training; 3) carrying out interpretability operation of category judgment by utilizing gradient back propagation, and outputting a visual image; (4) comparing influences of one-dimensional convolution andtwo-dimensional convolution on the keratoconus data model for special consideration of the c keratoconus data model, and (5) selecting the category where the maximum score in the three scores is located as the discriminated category through the designed model to obtain a good classification effect, and optimizing the problem that the conic cornea recognition effect is poor in practical application.

Description

technical field [0001] The invention belongs to the technical field of medical data processing, and in particular relates to a keratoconus recognition method and device based on multidimensional feature fusion. Background technique [0002] In recent years, deep learning technology has developed rapidly in all walks of life, and medical assistance combined with deep learning technology has become the goal and direction of more and more people's efforts. Keratoconus is a slowly developing eye disease. It is difficult to diagnose in the early stage (that is, subclinical keratoconus), and there are no obvious clinical manifestations. The course of the disease varies from person to person. Significant corneal dilatation, central thinning, protruding forward, and conical shape are present, and advanced keratoconus can be diagnosed with a variety of ophthalmic equipment. The key problem is that in the early stage of the disease, it is difficult to diagnose but can be corrected by...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06N3/04G06N3/08
CPCG06N3/084G06N3/045G06F18/241G06F18/214
Inventor 吴健胡荷萍陈婷婷冯芮苇许哲王文哲
Owner ZHEJIANG UNIV
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