基于计算机神经网络的细胞诊断系统研究  

On Software for Classifying and Counting Blood Cells

作　　者：余心宏[1] 李根乾[2] 罗子健[1] 

机构地区：[1]西北工业大学材料科学与工程系,陕西西安710072 [2]西安交通大学机械系,陕西西安710049

出　　处：《西北工业大学学报》2001年第4期648-650,共3页Journal of Northwestern Polytechnical University

摘　　要：在 PC机上利用真彩色细胞图像和神经网络技术 ,建立了具有自学习功能的细胞诊断与分析系统 ,有效地实现了血液细胞的 3分类和白细胞的 5分类、异常细胞的检出和收集。系统还提供了特征库的建立与编辑功能 ,可不断扩大和完善系统功能。The Fourth Military Medical University needed software in classifying and counting blood cells. Our method is presented schematically in Fig.1. We recorded colored images of blood cells and , according to the characteristics of each type of blood cell furnished us by the medical people, we used NN (neural network) technique to classify and count the blood cells in the blood sample. Our system can not only classify and count regular types of red and white blood cells but also inspect and count extraordinary blood cells. Fig.2 shows the results of colored cell images; they show that our system is effective and the rate of accurate identification reaches 94%. We emphasize that our system can improve continuously through its self-learning capability.

关 键 词：计算机神经网络 特征库 分类器 专家系统 细胞诊断 图像预处理 临床检验 血液 

分 类 号：R446.113[医药卫生—诊断学] TP183[医药卫生—临床医学]