Cleavage ball cleavage state intelligent detection method and system

An intelligent detection and blastomere technology, applied in the fields of embryo morphology and artificial intelligence, can solve the problems of poor real-time performance and low accuracy, and save time and money.

Active Publication Date: 2020-09-18
WUHAN MUTUAL UNITED TECH CO LTD
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Problems solved by technology

[0006] The purpose of the present invention is to overcome the problem of low accuracy and poor real-time performance of the traditional image analysis method in the prior art by extracting simple artificial features to complete the prediction of the number of blastomeres, and propose an intelligent detection method fo

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  • Cleavage ball cleavage state intelligent detection method and system
  • Cleavage ball cleavage state intelligent detection method and system
  • Cleavage ball cleavage state intelligent detection method and system

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Embodiment Construction

[0047] The present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0048] During the process of embryo division, the number of blastomeres is constantly increasing, which brings challenges to the generality of the design algorithm. How to build an effective AI model to complete the high-level feature extraction, model training and results of blastomeres Prediction is the key problem to be solved.

[0049] The construction process of the blastomere number prediction network model proposed by the present invention is as follows: figure 2shown, including the following steps:

[0050] a1) Collect embryo images including the number of blastomeres from D1 to D3, and mark the number of blastomeres for each embryo image.

[0051] At present, there is no public large-scale data set for the prediction of the number of blastomeres. The number of blastomeres increases with the division, and when the number is...

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Abstract

The invention discloses a cleavage ball cleavage state intelligent detection method and system. The method comprises the following steps: collecting an embryo image in periods D1 to D3 and recording ashooting time point; inputting the embryo image and the time point thereof into a cleavage ball number prediction network model for prediction; calculating a cleavage globule division index F, and judging whether the embryo is normally divided in the cleavage stage or not; and outputting the predicted number of the cleavage balls in each embryo image, the cleavage ball cleavage curve and the cleavage state judgment result of the embryo in the cleavage stage as a detection report. According to the detection method provided by the invention, the whole process of the cleavage ball development ismonitored; the number of the cleavage balls and cleavage ball cleavage points can be accurately detected; a doctor can rapidly and visually observe and analyze the whole cleavage process of the cleavage ball, time and money cost are saved for the doctor and a patient, the prediction accuracy of the number of embryos of the cleavage ball number prediction network model reaches 93%, and the accuracy is far higher than that of the traditional image processing method.

Description

technical field [0001] The invention relates to the technical fields of embryo morphology and artificial intelligence, in particular to an intelligent detection method and system for blastomere division state. Background technique [0002] The quality of embryo development directly affects the result of pregnancy rate. Embryologists rely on embryo morphology and genetics to distinguish the quality of embryos. Among them, the use of genetic methods to determine the quality of embryos requires extremely high experimental conditions. , and using embryo morphological information to complete embryo evaluation is a simple, fast and effective method. At present, most embryologists judge the quality of embryos by obtaining some important morphological feature changes in the embryo development process based on their long-term embryo observation experience, and use it as an important predictor of the success rate of embryo transfer in the later stage. in accordance with. Doctors usu...

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Application Information

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IPC IPC(8): G06T7/00
CPCG06T7/0012G06T2207/20081G06T2207/20084G06T2207/30044
Inventor 云新谭威陈长胜
Owner WUHAN MUTUAL UNITED TECH CO LTD
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