染色体自动分析系统的研究现状及未来目标

Research status and future development of chromosome automatic analysis system

染色体自动分析系统可以帮助医生尽早诊断出癌症及其他遗传疾病,通常的染色体自动分析系统主要包括图像增强、染色体分割、特征提取、染色体配对和分类等一系列步骤,然而要研制出这样的自动分析系统是一项非常困难的工作。在不同系统的研究过程中许多算法得到了应用并取得了令人鼓舞的结果,文章介绍了染色体自动分析系统的研究进展,详细总结了这些系统中使用的各种算法。由于受到一些因素的制约,因此还需要进一步的研究来提高这些系统的效率和准确性。文章具体分析了这些制约因素,并指出了未来的研究方向。

The chromosome automatic analysis system may help physicians diagnose cancers and other genetic disorders at an early stage. A computer-assisted system usually includes a series of processing steps, such as image enhancement, chromosome segmentation, feature extraction and chromosome classification. However, developing such an automated system is quite a challenging and difficult task. A number of different algorithms have been applied during the research of these systems, and encouraging results have been achieved. This paper introduced the development of the chromosome automatic analysis systems, and summarized various algorithms used in these systems. Due to limitation of some factors, further research is needed to improve the efficiency and the accuracy of these systems. The limited factors are analyzed in this paper and the development tendency is predicted.