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Chromosome cluster and chromosome instance identification method and system and storage medium

An identification method and identification system technology, which is applied to the identification method, system and storage medium of chromosome clusters and chromosome instances, can solve the problems of increasing the workload of staff and selection errors, and achieve the effect of reducing workload and improving accuracy

Active Publication Date: 2021-03-12
SOUTH CHINA NORMAL UNIVERSITY
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Problems solved by technology

However, in the process of chromosome segmentation, it is often necessary to manually select two types of images of chromosome instances and chromosome clusters, thereby increasing the workload of the staff, and it is also prone to selection errors due to visual fatigue

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  • Chromosome cluster and chromosome instance identification method and system and storage medium
  • Chromosome cluster and chromosome instance identification method and system and storage medium

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[0048] Chromosome example: It refers to a chromosome one by one. Normal human cells contain 23 pairs of chromosomes, including 22 pairs of autosomes, numbered from 1 to 22. In each pair of chromosomes, one is inherited from the mother and the other is inherited from the father. In a pair of sex chromosomes, women have two Xs, inherited from their mother and father, and men have one X (inherited from their mother) and one Y (inherited from their father). In abnormal human cells, one or more chromosomes may be missing or have an extra chromosome.

[0049] Chromosomal karyotype analysis: it refers to the process of segmenting the chromosome metaphase cell image, obtaining all chromosome instances, and then sorting according to the chromosome band information to generate a chromosome karyotype map. Chromosome karyotype analysis mainly includes two steps, chromosome instance segmentation and chromosome classification. The main obstacle restricting the karyotyping of chromosomes l...

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Abstract

The invention discloses a chromosome cluster and chromosome instance recognition method and system and a storage medium. The method comprises the following steps: obtaining a first chromosome image which is a to-be-recognized chromosome image; determining the type of the first chromosome image by adopting a pre-trained classification model, wherein the training step of the classification model comprises the following steps: acquiring a second chromosome image; extracting a plurality of geometrical morphology features of the second chromosome image; and training the classification model througha plurality of geometrical morphology features of the second chromosome image to obtain a model weight. According to the method, the classification model is trained by extracting the plurality of geometrical morphology features of the second chromosome image to obtain the model weight, and then the type of the chromosome image to be identified is determined through the pre-trained classificationmodel, so that the workload of workers is reduced, and the accuracy of the identification result of the chromosome cluster and the chromosome instance is improved. The method can be applied to the technical field of chromosome processing.

Description

technical field [0001] The invention relates to the technical field of chromosome processing, in particular to a method, system and storage medium for identifying chromosome clusters and chromosome instances. Background technique [0002] Since chromosome is an important carrier of human genetic information and is the most important and important way to diagnose congenital genetic diseases, karyotype analysis is used in prenatal diagnosis to screen pregnant embryos for congenital genetic diseases . Chromosome karyotype analysis is mainly to take cell images of metaphase chromosomes by electron microscope, then segment the chromosome images to obtain 46 chromosome instances, and finally classify the obtained chromosome instances to generate cell chromosome karyotype maps. However, in the process of chromosome segmentation, it is often necessary to manually select two types of images of chromosome instances and chromosome clusters, which increases the workload of the staff, a...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62G16B15/00
CPCG16B15/00G06V20/698G06V2201/04G06F18/214
Inventor 林成创赵淦森吴清蓝李壮伟黄润桦彭璟樊小毛唐华张奇之杨晋吉罗浩宇李双印陈少洁易序晟
Owner SOUTH CHINA NORMAL UNIVERSITY
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