Evolving neural networks for the classification of malignancy associated changes

Hallinan J. (2005). Evolving neural networks for the classification of malignancy associated changes. In: Intelligent Data Engineering and Automated Learning - IDEAL 2005: 6th International Conference. Proceedings. 6th International Conference on Intelligent Data Engineering and Automated Learning - IDEAL 2005, Brisbane, (382-389). July 6, 2005-July 8, 2005.

Author Hallinan J.
Title of paper Evolving neural networks for the classification of malignancy associated changes
Conference name 6th International Conference on Intelligent Data Engineering and Automated Learning - IDEAL 2005
Conference location Brisbane
Conference dates July 6, 2005-July 8, 2005
Proceedings title Intelligent Data Engineering and Automated Learning - IDEAL 2005: 6th International Conference. Proceedings   Check publisher's open access policy
Journal name Lecture Notes in Computer Science   Check publisher's open access policy
Series Lecture Notes in Computer Science
Publication Year 2005
Sub-type Fully published paper
ISSN 0302-9743
Volume 3578
Start page 382
End page 389
Total pages 8
Abstract/Summary Malignancy Associated Changes are subtle changes to the nuclear texture of visually normal cells in the vicinity of a cancerous or precancerous lesion. We describe a classifier for the detection of MACs in digital images of cervical cells using artificial neural networks evolved in conjunction with an image texture feature subset. ROC curve analysis is used to compare the classification accuracy of the evolved classifier with that of standard linear discriminant analysis over the full range of classification thresholds as well as at selected optimal operating points. The nonlinear classifier does not significantly outperform the linear one, but it generalizes more readily to unseen data, and its stochastic nature provides insights into the information content of the data.
Subjects 1701 Psychology
Q-Index Code E1
Q-Index Status Provisional Code
Institutional Status Unknown

Document type: Conference Paper
Collection: Scopus Import
 
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Created: Tue, 28 Jun 2016, 03:11:38 EST by System User