English

应用科学学报 ›› 1997, Vol. 15 ›› Issue (3): 348-352.

• 论文 • 上一篇    下一篇

神经网络在肺癌早期鉴别诊断中的研究与应用

李志良1,2,3,4, 曾鸽鸣1, 胡芳1, 高岳平2, 松本 S3, 吴 X3, 村松 Y4, 李梦龙1,4   

  1. 1. 湖南大学;
    2. 湖南省肿瘤医院;
    3. 早稻田大学;
    4. 日本科技大学
  • 收稿日期:1995-07-25 修回日期:1996-09-06 出版日期:1997-09-30 发布日期:1997-09-30
  • 作者简介:李志良:教授,湖南大学化学化工系,长沙 410082
  • 基金资助:
    日本文部省资助;中国国家教委资助;自然科学基金

ARTIFICIAL NEURAL NETWORKS AS APPLIED TO DIAGNOSIS OF LUNG CANCER

LI ZHILIANG1,2,3,4, ZENG G M1, HU F1, MATSUMOTO S2, WU X P3, MURAMATSU Y3, LI MENGLONG4, GAO YUEPING1,4   

  1. 1. Hunan University, ICP Changsha 410082;
    2. Waseda University, Tokyo;
    3. Toyohashi University of Techndgy, Toyohashi;
    4. Sichun University, Chengdu
  • Received:1995-07-25 Revised:1996-09-06 Online:1997-09-30 Published:1997-09-30

PDF

70

摘要： 研究了人工神经网络方法(NN)在生物医学工程和生命科学中的应用.提出了改进反传算法(MBP)并用于肺癌早期诊断:发现其对几类病人的识别和预测时,分类正确率高,临床诊断预测力强.

关键词: 神经网络, 肺癌早期诊断, 改进反传算法

Abstract: Artificial neural networks has been applied to biomedical engineering and life science. In this paper, a modified backpropagation algorithm (MBP) is developed for di-agnosis of lung cancer.This algorithm gives quite high correct recognition rate with its mean being 84. 5per cent.

Key words: diagnosis of diseases, artificial neural networks, modified backpropagation, lung cancer, biomedical pattern recognition