Research On Interactive Processing And Recognition System For Chromosome Information Data

Nowadays,Accompanied by the rapid advancement of computer technology.The application of digital image technology and machine learning algorithm theory is also becoming more extensive.In the direction of diagnosis and treatment of chromosomal diseases.The use of computer technology to assist in chromosome image processing and karyotype analysis has become a trend.Traditional chromosome image analysis,from image recognition to processing to analysis,needs to be carried out in different system environments,and due to the professional nature of the software system,the volume is usually large,and it can only be operated offline,which lacks universality and Ease of use.The traditional chromosome analysis system is poorly integrated,and the analysis results are often inaccurate due to the interference of the image itself when analyzing the object.The interactive processing and recognition system for chromosome information data designed in this paper is based on the python-based django framework design.The main research results of this system are as follows:1.This article applies vectorized graphics processing technology to the chromosome contour object.The interactive processing design greatly improves the accuracy of the chromosome contour and the processing speed of the module,which can provide accurate data for subsequent recognition.2.Combine the Django framework with asynchronous loading algorithms,and cooperate with the json data format to transmit,store and store the chromosome contour coordinate data.Because the json data format fits the chromosome contour object coordinate pair very well,it can greatly improve the processing speed of the system.3.The editor.md is embedded in the system to realize the synchronous editing function.So that the system integrates the recognition,processing,classification and report editing modules of chromosome images.The integration of the system has been strengthened,and the efficiency of diagnosis and treatment of chromosomal diseases has also been greatly improved.4.In the recognition of diseased chromosomes,combined with Bayesian classification algorithm,it can identify chromosome contour objects that may have problems,and assist medical staff in the diagnosis of patients.The system also has the characteristics of small size,simple operation and high adaptability to the operating environment system.In the use of human-computer interaction,the system adopts a humanized design as far as possible to allow operators to quickly get started.Later,it can also combine with big data analysis to store the data in the hive database,and further statistical analysis of the data to explore the disease Causes and so on.The application of the system can promote the diagnosis and treatment technology of chromosomal diseases,combining the use of several parts of technology.It can respond well to human use scenarios of applying high-tech analysis methods to disease diagnosis and treatment,so that the hospital's work is reduced,and the quality and efficiency are improved.