Sperm quality detection method and device, computer equipment and storage medium

A technology for sperm quality and detection methods, applied in the computer field, can solve problems such as low detection efficiency, and achieve the effects of improving efficiency, simplifying workflow, and improving accuracy

Pending Publication Date: 2021-11-26
苏州贝康智能制造有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, because conventional semen analysis and sperm morphology analysis usually need t...

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  • Sperm quality detection method and device, computer equipment and storage medium
  • Sperm quality detection method and device, computer equipment and storage medium
  • Sperm quality detection method and device, computer equipment and storage medium

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Embodiment Construction

[0062] In order to make the purpose, technical solution and advantages of the present application clearer, the present application 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 application, and are not intended to limit the present application.

[0063] The sperm quality detection method provided in this application can be applied to computer equipment such as terminals and servers, or to a system including terminals and servers. The following content will be described using the terminal as an example. At least one trained deep learning model is pre-deployed in the terminal. The deep learning model can be pre-trained using other computer equipment outside the terminal. Specifically, the terminal acquires multiple sperm images to be detected. Based on the deep learning theory, the sperm image to be detected is de...

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Abstract

The invention relates to a sperm quality detection method and device, computer equipment and a storage medium. The method comprises the following steps: acquiring a plurality of to-be-detected sperm images; detecting the to-be-detected sperm image to obtain a sperm morphology detection result of sperms in the to-be-detected sperm image; detecting each to-be-detected sperm image to obtain a sperm number detection result and a sperm position detection result corresponding to each to-be-detected sperm image; determining the sperm concentration according to the sperm number detection result of the plurality of to-be-detected sperm images; and generating a sperm motility detection result according to the sperm position detection results of the plurality of to-be-detected sperm images. By adopting the method, the sperm morphology detection result and the conventional sperm detection result can be quickly obtained, so that the working process of sperm quality detection is greatly simplified, and the sperm quality detection efficiency is improved.

Description

technical field [0001] The present application relates to the field of computer technology, in particular to a sperm quality detection method, device, computer equipment and storage medium. Background technique [0002] Semen analysis is an important test to judge male fertility, and the two most commonly used analyzes are semen routine analysis and sperm morphology analysis. Routine semen analysis includes the detection of sperm concentration and motility, and sperm morphology analysis is an important method to detect the rate of sperm deformity. Normal sperm motility, concentration and morphological indicators are important conditions for the success of natural conception or IVF. [0003] Traditionally, semen routine analysis can be achieved by manual counting, computer-assisted sperm analysis (Computer Assisted Sperm Analysis, CASA), automatic sperm analyzer and other technical means. Sperm morphology analysis can be achieved by manual microscopic examination, automatic...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06T7/11G06K9/62G06N3/04G06N3/08
CPCG06T7/0012G06T7/11G06N3/08G06T2207/30024G06T2207/30242G06T2207/20132G06T2207/20081G06T2207/20084G06N3/045G06F18/24
Inventor 赵荔君黄迪锋沈艺尹凯王建峰梁波
Owner 苏州贝康智能制造有限公司
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