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Sperm morphology analysis method based on deep neural network model

A deep neural network and morphological analysis technology, used in clinical applications and scientific research to achieve the effect of enhancing generalization ability and robustness, improving accuracy, and improving reliability

Pending Publication Date: 2019-11-15
屈晨
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Problems solved by technology

However, these methods cannot solve the problems mentioned above that the analysis results are greatly affected by the environment and the quality of the smear itself, as well as the limitations of the measurement method itself.

Method used

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  • Sperm morphology analysis method based on deep neural network model
  • Sperm morphology analysis method based on deep neural network model
  • Sperm morphology analysis method based on deep neural network model

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Embodiment Construction

[0032] The present invention will be further illustrated below in conjunction with the accompanying drawings and specific embodiments. It should be understood that these embodiments are only used to illustrate the present invention and are not intended to limit the scope of the present invention. After reading the present invention, those skilled in the art all fall into the appended claims of the present application to the amendments of various equivalent forms of the present invention limited range.

[0033] Such as figure 1 and 2 Shown, the specific embodiment of the present invention is as figure 2 As shown, it can be divided into three major steps in general.

[0034] First, microscopic images of sperm morphology are obtained through hardware devices such as microscopes and cameras.

[0035] Then, identify and locate each sperm in the microscopic image by using the sperm image localization module, and extract the image of each sperm.

[0036] Finally, use the sperm ...

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Abstract

The invention discloses a sperm morphology analysis method based on a deep neural network model, and the method comprises the steps: recognizing and positioning sperms in a microscopic image through asperm image positioning module, extracting a sperm image, finally analyzing the image of each sperm through a sperm morphology analysis module, and completing the classification. According to the invention, the influence of interference factors on detection results can be greatly weakened, and the reliability of sperm morphology analysis results is improved. Feature information which cannot be obtained by a traditional measurement method in sperm pictures can be captured, so that the accuracy of sperm morphology analysis is improved. The sperm morphology analysis requirements of different sperm classification targets can be met.

Description

technical field [0001] The invention mainly relates to clinical application and scientific research related to sperm morphology analysis based on artificial intelligence. Background technique [0002] The current general methods for sperm morphology analysis include manual classification and computer-aided classification. [0003] The method of manual classification is to firstly perform a series of pretreatments (including centrifugation, smear, staining, etc.) on the semen sample to make a smear, and then the inspectors will observe through the 100x objective lens of the microscope, and manually classify the morphology of the sperm under the microscope . This method is time-consuming and inefficient; the test results are heavily influenced by the subjective components of the testers, and the classification results of different testers are quite different, which will have a certain impact on clinical diagnosis and treatment plans. [0004] The smear making process of comp...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T7/60G06K9/62
CPCG06T7/0012G06T7/60G06T2207/10056G06T2207/20081G06T2207/20084G06T2207/30004G06F18/24
Inventor 屈晨
Owner 屈晨
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