Mouse embryonic organ recognition and scoring method and system

A mouse embryo and organ technology, applied in the field of artificial intelligence-assisted basic medical research, can solve the problems of high cost and low consistency of scoring

Active Publication Date: 2021-09-10
TAIYUAN UNIV OF TECH
View PDF7 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

There are many problems in the manual identification and judgment itself: 1. The actual operator needs to have a considerable medical basis to make a judgment on the scoring of embryonic development, and in the current situation of insufficient basic medical personnel, the cost of artificially implementing this

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Mouse embryonic organ recognition and scoring method and system
  • Mouse embryonic organ recognition and scoring method and system
  • Mouse embryonic organ recognition and scoring method and system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0043] Such as figure 2 As shown, Embodiment 1 of the present invention provides a mouse embryo organ recognition and scoring method, comprising the following steps:

[0044] S1. Collect the original images of mouse embryos at different stages, and manually label the organs in the images with names and development scores. Set each organ label box and organ name on the image when labeling.

[0045] Specifically, for the images of mouse embryos at different stages captured by a stereo microscope, professional basic medical researchers annotate the organ location and developmental score of each embryo image, and the annotated files are saved locally on the computer.

[0046] First, professional basic medical researchers cultivate mice by themselves. After the mice are conceived, the embryos are removed according to the number of days of development, and the in vitro embryos at different stages are photographed using a stereo microscope. The captured images are saved to the loc...

Embodiment 2

[0073] Such as figure 2As shown, Embodiment 2 of the present invention provides a mouse embryo organ recognition and scoring system, including:

[0074] Image collection module: used to collect embryo images;

[0075] Organ recognition module: used to train the Mask-RCNN network through the marked embryo image to obtain an organ recognition model; the organ recognition model is used to recognize the embryo image to be recognized to obtain each organ or tissue in the embryo image , and intercept it from the image and save it by category;

[0076] Image classification module: including a plurality of convolutional neural network models, which are used to train the convolutional neural network models separately through different embryonic organ images to obtain image scoring models for each organ, and the image scoring models are used to classify different embryonic organ images respectively. The organs are classified and identified, and their scoring results are obtained;

...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention belongs to the field of artificial intelligence, and particularly relates to a mouse embryo organ recognition and scoring method and a system. The method comprises the following steps: collecting original images of mouse embryos in different periods, and carrying out the manual marking; inputting the mouse embryo original image and the annotation file into a Mask-RCNN network for training to obtain an organ recognition model; intercepting organs in the marked image from the original image, taking the organs and corresponding scores as training set data, and training different convolutional neural networks to obtain an image scoring model capable of scoring development of each organ; inputting a to-be-recognized mouse embryo original image into the organ recognition model, and outputting all organs in the image; intercepting all organs from the original image, and respectively inputting the organs into an image scoring model to obtain a development score of each organ; and obtaining a total score. According to the method, the organs in the mouse embryo can be quickly and accurately recognized, and the current development stage of each organ can be judged.

Description

technical field [0001] The invention belongs to the technical field of artificial intelligence-assisted basic medical research, and in particular relates to a mouse embryo organ recognition and scoring method and system. Background technique [0002] Embryo toxicity (Embryo toxicity) mainly refers to the damage caused by various chemical substances to the occurrence and development of embryos, resulting in embryonic developmental disorders, resulting in birth defects, and even clinical outcomes such as miscarriage. The rapid development of chemical and industrial production has brought great progress to human society, but it has caused damage and pollution to the natural environment, and the chemical process is accompanied by the production of many new substances, but it also makes many previously unknown Toxic substances produce toxicity, and at the same time, by-products and wastes generated in chemical production activities are discharged into the environment, making the ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06K9/32G06K9/46G06K9/62G06N3/04G06T7/00G06T7/11
CPCG06T7/11G06T7/0012G06N3/045G06F18/214
Inventor 李明马雪涛奥瑞芳郝芳李心宇欧阳佳子
Owner TAIYUAN UNIV OF TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap