By Topic

Research on Application of BP Neural Network to Recognizing Gastric Cancer Cell

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Xian-lai Chen ; Coll. of Inf. Sci. & Eng., Central South Univ., Changsha ; Lu-ming Yang ; Rong Yang ; Xiao-dan Xiao

To discuss application value of BP neural network to recognizing gastric cancer cell. Object and Method: 510 cells are selected from 308 patients, in which 210 gastric adenocarcinoma cells and 300 non-cancer gastric cells are extracted. Ten morphological parameters of every cell are measured. These data are randomly divided into two groups-training data (A) and test data (B). A three-layer BP neural network is built and trained using data A. Then, the network is test with data A and data B. Result: For data A, the sensitivity of the network is 99.05%, the specificity 98.67%, positive predictive value 98.11%, negative predictive value 99.33%, the accuracy 98.82%. For data B, the sensitivity of network is 99.05%, specificity 97.33%, positive predictive value 96.30%, negative predictive value 99.32%, the accuracy 98.04%. With ROC curve evaluation, the area under ROC curve is 0.9921. Discussion and Conclusion: the result shows that the model built based on BP neural network is effective. BP neural network can be used for automatically recognizing gastric cancer cell.

Published in:

2007 1st International Conference on Bioinformatics and Biomedical Engineering

Date of Conference:

6-8 July 2007