Classification of Medical Image Based on BP Neural Network
DOI:
CSTR:
Author:
Affiliation:

Clc Number:

Fund Project:

  • Article
  • |
  • Figures
  • |
  • Metrics
  • |
  • Reference
  • |
  • Related
  • |
  • Cited by
  • |
  • Materials
  • |
  • Comments
    Abstract:

    A method of medical images classification based on LBP operator and BP neural network is proposed in this paper. The method uses direction texture spectrum descriptor to describe the texture features, making them as the samples input of neural network for training. Finally, the trained network is used to classify the medical images. Experimental results show it is effecitve for medical images classification.

    Reference
    Related
    Cited by
Get Citation

孙君顶,李琳.基于BP 神经网络的医学图像分类.计算机系统应用,2012,21(3):160-162,212

Copy
Share
Article Metrics
  • Abstract:
  • PDF:
  • HTML:
  • Cited by:
History
  • Received:June 21,2011
  • Revised:July 17,2011
  • Adopted:
  • Online:
  • Published:
Article QR Code
You are the firstVisitors
Copyright: Institute of Software, Chinese Academy of Sciences Beijing ICP No. 05046678-3
Address:4# South Fourth Street, Zhongguancun,Haidian, Beijing,Postal Code:100190
Phone:010-62661041 Fax: Email:csa (a) iscas.ac.cn
Technical Support:Beijing Qinyun Technology Development Co., Ltd.

Beijing Public Network Security No. 11040202500063