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Detection of circumscribed masses in digital mammograms using behaviour-knowledge space method

Constantinidis, A.S., Fairhurst, Michael, Rahman, Ahmad Fuad Rezaur (2000) Detection of circumscribed masses in digital mammograms using behaviour-knowledge space method. Electronics Letters, 36 (4). pp. 302-303. ISSN 0013-5194. (doi:10.1049/el:20000280) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:16313)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided.
Official URL:
https://doi.org/10.1049/el:20000280

Abstract

In classification applications where reliability and flexibility are priorities it is advantageous to adopt a processing configuration based on the combination of multiple classifiers. The application of classifier combination based on behaviour-knowledge space to the detection of circumscribed masses in mammographic images is discussed.

Item Type: Article
DOI/Identification number: 10.1049/el:20000280
Subjects: Q Science > Q Science (General)
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Depositing User: P. Ogbuji
Date Deposited: 31 Mar 2009 21:14 UTC
Last Modified: 09 Mar 2023 11:30 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/16313 (The current URI for this page, for reference purposes)

University of Kent Author Information

Fairhurst, Michael.

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