首页 | 本学科首页   官方微博 | 高级检索  
     

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
引用本文:张以谟,史韦.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[J].光电子.激光,1995,6(3):134-138.
作者姓名:张以谟  史韦
作者单位:天津大学现代光学仪器研究所
摘    要: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...

关 键 词:癌细胞  筛选  光电功率谱  神经网络  肿瘤  细胞学

An Application of BP Neural Network for Cancer Cell Pattern Recognition Based on the Optical-Electrical Hybrid Power Spectrum Analysis System
Zhang Yimo,Shi Wei,Li Heqiao.An Application of BP Neural Network for Cancer Cell Pattern Recognition Based on the Optical-Electrical Hybrid Power Spectrum Analysis System[J].Journal of Optoelectronics·laser,1995,6(3):134-138.
Authors:Zhang Yimo  Shi Wei  Li Heqiao
Abstract: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%.
Keywords:BP Neural Network  Power Spectrum Analysis  Lung Cancer Cell  
本文献已被 CNKI 维普 等数据库收录!
点击此处可从《光电子.激光》浏览原始摘要信息
点击此处可从《光电子.激光》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号