Chromosome karyotype image intelligent evaluation method and system

Abstract

The invention provides a chromosome karyotype image intelligent evaluation method and system. The method relates to the technical field of image processing, and is characterized in that automatic labeling of chromosome image data is carried out through a weak supervised learning model; annotation costs is reduced, labeling efficiency is improved, extension modes such as random projection transformation are adopted for chromosome image data; an optimized residual network model is adopted to build a scoring network model, detail differences of chromosome images are better reserved, the accuracyof the scoring network model is improved, meanwhile, a scoring system is established by adopting a micro-service distributed frame through a cloud platform technology, cross-cloud image analysis is achieved, and the efficiency of the system is improved.

Description

technical field [0001] The invention relates to the technical field of chromosome karyotype analysis, in particular to an intelligent evaluation method and system for a chromosome karyotype image. Background technique [0002] Chromosome karyotype analysis takes metaphase chromosomes as the research object, and analyzes, compares, sorts and numbers chromosomes with the help of banding technology according to the characteristics of chromosome length, centromere position, long-short arm ratio, and presence or absence of satellites. Detection and analysis are carried out according to the variation of chromosome structure and number. Chromosome karyotype analysis can provide an important basis for the study of cytogenetic classification, relationship between species, and chromosome number and structural variation. Chromosomal karyotype analysis can determine whether the number of chromosomes is abnormal, whether there is deletion, insertion, duplication or misinterpretation of ...

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Problems solved by technology

[0003] With the development of technology, karyotype analysis technology is relatively mature and widely used all over the world. In current clinical practice, karyotype analysis is almost completely dependent on manual work in the process of map review and interpretation, and the work of map review and interpretation has a great impact on the staff. The professional requirements and practical experience requirements are very high, which hinders the widespread development of this technology in genetics. At the same time, the chromosome karyotype analysis needs to be carried out in medical institutions with a certain scale, which increases the time cost and cost of the personnel to be tested. Human cost, extremely inconvenient

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