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
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.
出处
《电脑开发与应用》
2004年第3期28-29,共2页
Computer Development & Applications
