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Deep learning-based karyotype analysis method and system

A technology of chromosome karyotype and deep learning, applied in the field of chromosome karyotype analysis, can solve the problems of unguaranteed accuracy, low efficiency, lack of automatic analysis operation, etc., and achieve the effect of improving work efficiency

Active Publication Date: 2022-03-22
易构智能科技(广州)有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In order to overcome the lack of fully automatic analysis operation from photographed map to karyotype map described in the above prior art, the present invention provides a depth-based Learning karyotype analysis method, and a karyotype analysis system based on deep learning

Method used

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  • Deep learning-based karyotype analysis method and system
  • Deep learning-based karyotype analysis method and system
  • Deep learning-based karyotype analysis method and system

Examples

Experimental program
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Embodiment 1

[0038] This embodiment proposes a karyotype analysis method based on deep learning, such as figure 1 Shown is a flow chart of the deep learning-based karyotype analysis method of this embodiment.

[0039] In the karyotype analysis method based on deep learning proposed in this embodiment, the following steps are included:

[0040] Step 1: Obtain the original image of the chromosome.

[0041] In this embodiment, the chromosome image is captured by equipment to obtain the original chromosome image. Such as figure 2 Shown is the original chromosome image of this embodiment.

[0042] Step 2: Preprocess the original chromosome image to obtain a clear image.

[0043] In this embodiment, the step of preprocessing the chromosome image includes: using the image conversion model based on the confrontation generation network to perform style conversion on the collected original chromosome image, and obtain the following: image 3 The chromosome image with clear stripes is shown; th...

Embodiment 2

[0107] This embodiment proposes a karyotype analysis system based on deep learning, which is applied to a karyotype analysis method based on deep learning proposed in Example 1. Such as Figure 10 Shown is the architecture diagram of the karyotype analysis system based on deep learning in this embodiment.

[0108] In the karyotype analysis system based on deep learning proposed in this embodiment, it includes:

[0109] Image collection module 1, used to obtain the original image of the chromosome;

[0110] The image preprocessing module 2 is used to preprocess the original chromosome image to obtain a clear image;

[0111] The clustering module 3 is used to divide the foreground semantic class into the smallest chromosome unit cluster according to the number of contours according to the semantic class information of the clear image, and obtain several clustering images containing a single chromosome or multiple chromosomes;

[0112] The segmentation and classification modul...

Embodiment 3

[0124] This embodiment proposes a karyotype analysis system based on deep learning, which is applied to the karyotype analysis method based on deep learning proposed in Example 1.

[0125] The karyotype analysis system based on deep learning proposed in this embodiment includes a processor and a memory, wherein a computer program is stored on the memory, and when the processor executes the computer program in the memory, the depth-based Learn the steps of the karyotyping method.

[0126] The same or similar reference numerals correspond to the same or similar components;

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Abstract

The invention relates to the technical field of karyotype analysis, and provides a karyotype analysis method and system based on deep learning, and the method comprises the steps: obtaining a chromosome original image; preprocessing the original chromosome image to obtain a clear image; according to the semantic class information of the clear image, performing minimum chromosome unit cluster segmentation on the foreground semantic class according to the contour number to obtain a plurality of clustered images containing a single chromosome or a plurality of chromosomes; carrying out chromosome segmentation and classification on the clustered images by adopting a chromosome instance segmentation model based on deep learning to obtain single chromosome images with classification numbers and contour information; performing polarity prediction and structural variation classification on the chromosome images by adopting a classification model, performing centroid detection on the chromosomes by adopting a feature point detection model, and finally arranging the chromosomes according to classification numbers, polarity numbers, structural variation numbers and centroid positions of the chromosome images. And obtaining a standard karyotype graph to finish chromosome karyotype analysis.

Description

technical field [0001] The present invention relates to the technical field of chromosome karyotype analysis, and more specifically, to a method and system for chromosome karyotype analysis based on deep learning. Background technique [0002] Chromosomal karyotype analysis is one of the important means for genetic science research and auxiliary clinical diagnosis. In the routine clinical workflow of diagnosing chromosomal abnormalities, geneticists need to visually inspect the number and shape of chromosomes in the specimen according to each light and dark band through an optical microscope, so there are problems of high professional requirements and time-consuming. [0003] At present, semi-automatic commercial karyotype analysis systems are put into use to assist geneticists in the analysis work under the light microscope, such as CytoVision, Ikaros, ASI HiBand, etc. The above-mentioned system photographs chromosomes on specimen slides through an optical microscope, and ...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06T7/10G06T5/00G06N3/08G06N3/04G06K9/62G06V10/764
CPCG06T7/0012G06T7/10G06N3/08G06T2207/20104G06N3/045G06F18/241G06T5/70
Inventor 李卫鹭
Owner 易构智能科技(广州)有限公司
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