基于光电混合功率谱分析的BP神经网络分类器在癌细胞筛选中的应用

An Application of BP Neural Network for Cancer Cell Pattern Recognition Based on the Optical-Electrical Hybrid Power Spectrum Analysis System

基于光电混合功率谱分析的ＢＰ神经网络分类器在癌细胞筛选中的应用张以谟，史韦，李贺桥（天津大学现代光学仪器研究所）ＡｎＡｐｐｌｉｃａｔｉｏｎｏｆＢＰＮｅｕｒａｌＮｅｔｗｏｒｋｆｏｒＣａｎｃｅｒＣｅｌｌＰａｔｔｅｒｎＲｅｃｏｇｎｉｔｉｏｎＢａｓｅｄｏｎｔ...

In this paper, a Backpropagation (BP) neural network classifier based on the Optical-Electrical Hybrid Power Spectrum Analysis System is presented. In this system, to realize the real time processing of cell image, the CCD camerra, high resolution CRT and LCLV is applied to complement the input image. In considerattion of the complexity, variety, high noise and non-parameter distribution of the cell pattern,the BP neural network is served as cell pattern classifier. In our experiment, the correct recognition rate is above 90%.