Automatic chromosome karyotype analysis and anomaly detection method

Abstract

The invention provides an automatic chromosome karyotype analysis and anomaly detection method. According to the method, an attention mechanism and a convolutional neural network are combined, the target is positioned in two stages, and the area of the target is roughly positioned in the first stage; in the second stage, an attention mechanism is added to the target area in the first stage, deepersemantic features are extracted to predict a mask of the target, meanwhile, the position of the target is roughly positioned by means of category prediction and a detection box regression task, and segmentation is conducted; finally, the trained model is used for segmenting and detecting the chromosome image, chromosome segmentation and anomaly detection can be accurately achieved, and thereforechromosome karyotype analysis automation is achieved. The method provided by the invention can overcome the defects that a traditional chromosome karyotype analysis method mainly depends on genetics to carry out artificial interaction analysis, time is consumed, overlapped chromosomes are not easy to separate, abnormal chromosomes cannot be automatically detected and the like.

Description

technical field [0001] The invention belongs to the technical field of biomedical image processing engineering, and in particular relates to an automatic chromosome karyotype analysis and abnormality detection method. Background technique [0002] Human chromosome analysis task is one of the important research topics of intelligent medical diagnosis task, and it is also a difficult point in clinical practice evaluation. A healthy human chromosome has a total of 23 pairs of chromosomes: it consists of 22 pairs of autosomes and 1 pair of sex chromosomes (X and Y chromosomes). In clinical practice, geneticists usually use metaphase chromosomes to analyze, and the karyotype can be provided by doctors Specific diagnostic information for birth defects, genetic disorders, and cancer, etc. However, due to structural changes in chromosomes, such as chromosome deletion, duplication, translocation, or reverse order, it takes a lot of time for experts to manually segment and analyze eac...

AI Technical Summary

Problems solved by technology

The method provided by the invention can overcome the shortcomings of the traditional karyotype analysis method, which mainly relies on geneticists for manual interactive analysis, which is time-consuming, difficult to separate overlapping chromosomes, and unable to automatically detect abnormal chromosomes.

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