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
CN112635060APending Publication Date: 2021-04-09HEFEI INNOVATION RES INST BEIHANG UNIV
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Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
HEFEI INNOVATION RES INST BEIHANG UNIV
Publication Date
2021-04-09

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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.
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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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