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神经网络在肺部单发结节CT诊断中的应用
Application of Neural Network in Diagnosis of SPN by CT
【摘要】 神经网络是人工智能领域的重要组成部分 ,适合解决多参数的聚类分析等复杂问题。通过 CT影像判断肺部单发结节 (SPN)良恶性的方法是 :综合分析判断 SPN的形态、大小、密度等多个参数 ,进而得出最后诊断。神经网络的应用可使 SPN的 CT诊断更加全面和客观
【Abstract】 Neural Network,as an important part of AI,is fit for the solution of complex clustering which with mass parameters.The analysis by synthesis of the SPN’s character,such as shape,size and density,is the solution of diagnosing SPN.The diagnosis of SPN by CT could be more objective and accurate with the application of neural network.
【关键词】 神经网络;
多层感知机;
线性可分;
肺部单发结节;
【Key words】 neural network; multilayer perception; linear separability; single pulmonary node;
【Key words】 neural network; multilayer perception; linear separability; single pulmonary node;
- 【文献出处】 电脑开发与应用 ,Computer Development & Applications , 编辑部邮箱 ,2004年03期
- 【分类号】R816.4
- 【被引频次】4
- 【下载频次】65