A chromosome recognition method based on depth learning

Abstract

The invention discloses a chromosome identification method based on depth learning, belonging to the technical field of chromosome identification. At present, the method of chromosome analysis is basically manual operation, and the examiner needs a lot of training time to master the knowledge of identifying each chromosome type, and the workload is heavier. Even experienced physicians analyze andidentify patients' chromosomes, the process typically takes more than two weeks and takes a longer period of time. And artificial recognition, subjectivity is very strong, easy to be affected by the external environment, the accuracy is not high. As that depth learn method is adopted, the chromosome type can be accurately carry out, Compared with the existing identification technology, the high-efficient identification technology can effectively improve the efficiency of chromosome karyotype analysis, shorten the identification sorting time, complete the automatic classification and sorting ofchromosomes with high accuracy, at the same time, can effectively reduce the work burden of doctors, free from external interference, and the process is simple, reasonable, and can be applied to large-scale outward promotion.

Description

technical field [0001] The invention relates to a chromosome recognition method based on deep learning, belonging to the technical field of chromosome recognition. Background technique [0002] Human chromosomal disease is a syndrome of a series of clinical symptoms caused by congenital chromosome number or structure abnormalities. Mainly children with mental retardation, developmental delay, congenital deformities. It can also cause miscarriage and stillbirth. These are unbearable for every family. However, the prevalence of this symptom in my country's pregnant population is about 5%-10%, accounting for more than half of aborted embryos. And these data have an increasing trend year by year, and the Chinese government and related institutions have also begun to pay attention to chromosomal diseases. [0003] The method of clinical detection of human chromosomal diseases is to obtain the stained and banded karyotype samples by culturing somatic cells through a series of ...

AI Technical Summary

Problems solved by technology

The current method of analyzing chromosome pictures is basically manual operation and manual identification. The inspection doctor first needs a lot of training time to master the knowledge of identifying each chromosome type, and the workload is heavy.

Even for experienced doctors to analyze and identify the patient's chromosomes, the whole process generally takes more than two weeks, which is a long time period

Moreover, manual recognition is highly subjective, easily affected by the external environment, and the accuracy rate is not high.

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