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肺癌分类识别中的神经网络集成技术研究
引用本文:杨育彬,李宁,陈世福,陈兆乾.肺癌分类识别中的神经网络集成技术研究[J].计算机科学,2003,30(9):39-42.
作者姓名:杨育彬  李宁  陈世福  陈兆乾
作者单位:南京大学计算机软件新技术国家重点实验室,南京,210093
基金项目:本文工作得到国家自然科学基金(60273033)、江苏省自然科学基金重点项目(BK2001202)的资助.
摘    要:This paper describes a neural network ensemble method in lung cancer cell identification process. A neural network ensemble algorithm LCNE based on image feature extraction is proposed. Firstly, LCNE algorithm trains different neural network classifiers designed for shape and color features individually. Then, using neural network en-semble method, the final lung cancer cell identification results can be achieved. On the basis of LCNE algorithm, weimplement a lunu cancer cell identification system LCDS successfully.

关 键 词:肺癌  分类识别  神经网络  集成  计算机  图像处理  模式识别  图像分割

Neural Network Ensemble in Lung Cancer Cell Identification
YANG Yu-Bin LI Ning CHEN Shi-Fu CHEN Zhao-Qian.Neural Network Ensemble in Lung Cancer Cell Identification[J].Computer Science,2003,30(9):39-42.
Authors:YANG Yu-Bin LI Ning CHEN Shi-Fu CHEN Zhao-Qian
Abstract:This paper describes a neural network ensemble method in lung cancer cell identification process. A neural network ensemble algorithm LCNE based on image feature extraction is proposed. Firstly, LCNE algorithm trains different neural network classifiers designed for shape and color features individually. Then, using neural network ensemble method, the final lung cancer cell identification results can be achieved. On the basis of LCNE algorithm, we implement a lung cancer cell identification system LCDS successfully.
Keywords:Neural network ensemble  Feature extraction  Image recognition  Lung cancer diagnosis  
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