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Surviability evaluation method and device, evaluation equipment and storage medium

A technology for survivability and evaluation models, applied in the field of image processing, can solve problems such as low reliability, time-consuming and laborious, and evaluation results relying on subjective judgments

Pending Publication Date: 2021-04-09
HEFEI INNOVATION RES INST BEIHANG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, embryologists are required to manually evaluate the appearance of each embryo and the timing of key developmental checkpoints, which is time-consuming and laborious, and the evaluation results rely on the subjective judgment of embryologists, with low reliability
There are also some embryo grading systems that can achieve viability assessment, such as the Gardner Blastocyst Grading System and the timing decision system based on embryo heat maps, but the implementation is complicated and the efficiency needs to be improved

Method used

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  • Surviability evaluation method and device, evaluation equipment and storage medium
  • Surviability evaluation method and device, evaluation equipment and storage medium
  • Surviability evaluation method and device, evaluation equipment and storage medium

Examples

Experimental program
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Embodiment 1

[0053]figure 1 A flow chart of a living force assessment method provided by the embodiment of the present invention, the present embodiment can be applied to the case where the survival of the observed target is evaluated according to a key frame. Specifically, the living force assessment method can be performed by the living force assessment device, which can be implemented by software and / or hardware and integrated in the evaluation device. Further, assessment devices include, but are not limited to: desktop computer, laptop, smartphones, servers, time difference incubator, and embryonic monitoring equipment.

[0054]Such asfigure 1 As shown, the method specifically includes the steps of:

[0055]S110, obtain keyframes in observing data.

[0056]Specifically, observing data is data acquired by observing targets, including multi-frame images. Observation data can be collected by image sensors, and the form may be an image or video such as an image or video in accordance with the timing, a...

Embodiment 2

[0066]image 3 A flow chart of a living force assessment method provided in the second embodiment of the present invention, the present embodiment is optimized on the basis of the above embodiment, the training process of the image segmentation model and the evaluation model, and the specific implementation process of the survival assessment process Description. It should be noted that the technical details of not described in this embodiment can be referred to in any of the above embodiments.

[0067]Specifically, such asimage 3 As shown, the method specifically includes the steps of:

[0068]S210, based on sample data set, training image segmentation model and evaluation model.

[0069]Specifically, the sample data set includes a known keyframe and the corresponding tag data, the tag data includes a true viability score corresponding to a known keyframe, and may include a standard segmentation image corresponding to a known keyframe. The label data can come from expert markers, clinical dat...

Embodiment 3

[0100]Figure 9 A structural diagram of a survival evaluation apparatus provided by the third embodiment of the present invention. Such asFigure 9 As shown, the living force assessment apparatus provided in this embodiment includes:

[0101]Get module 310 for obtaining keyframes in observing data;

[0102]The split module 320 is used to divide each of the keyframes by an image segmentation model to obtain a divided image, and a fusion feature of different feature scale is included in the divided image;

[0103]The evaluation module 330 is used to evaluate the survivability of the observed target according to the fusion characteristics of each divided image by evaluation model.

[0104]A volatile assessment device provided by the first embodiment of the present invention, using an image segmentation model and an evaluation model to evaluate the survival force of the observation target, wherein the image segmentation model and the evaluation model have the corresponding function, and the automatic...

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Abstract

The invention discloses a survivability evaluation method and device, evaluation equipment and a storage medium. The method comprises the following steps: acquiring a key frame in observation data; carrying out image segmentation on each key frame through an image segmentation model to obtain a segmented image, the segmented image comprising fusion features of different feature scales; and evaluating the survivability of the observation target according to the fusion features of the segmented images through an evaluation model. According to the technical scheme, the image segmentation model and the evaluation model are used for evaluating the survivability of the observation target, the image segmentation model and the evaluation model have corresponding functions, automatic evaluation of the survivability can be achieved, and the survivability evaluation efficiency is improved. In addition, the survivability of the observation target is evaluated by segmenting the image and fusing features of different feature scales, so that the feature extraction capability and the evaluation reliability are improved.

Description

Technical field[0001]Embodiments of the present invention relate to the field of image processing, and more particularly to a living force assessment method, apparatus, evaluation apparatus, and storage medium.Background technique[0002]In the field of biological and medical, cells, embryos, etc. are often desirable to assess their adaptability and survival of temperature, humidity, pressure, nutrient supply, and the like. For example, in order to improve pregnancy, it is necessary to select a strong embryo to carry out the bed. Embryologists currently require manual assessment based on the appearance of each embryo and the time of key developmental examination points, time-freight, and evaluation results depend on the subjective judgment of embryoists and low reliability. There are also some embryonic classification systems to achieve survival assessment, such as Gardner BlastoCyst grading system, and timing decision-making system based on embryonic thermal graphs, but are complex a...

Claims

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Application Information

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IPC IPC(8): G16H50/30G06T7/00G06T7/11G06T5/50G06N3/04G06N3/08
CPCG16H50/30G06T7/0012G06T7/11G06T5/50G06N3/08G06T2207/20036G06T2207/20081G06T2207/20084G06T2207/30044G06N3/045
Inventor 张冀聪武广王华胡静斐曹朝辉王海波
Owner HEFEI INNOVATION RES INST BEIHANG UNIV
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