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) |
| Institutional Unit: | Schools > School of Engineering, Mathematics and Physics > Engineering |
| Former Institutional Unit: |
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: | 20 May 2025 10:32 UTC |
| Resource URI: | https://kar.kent.ac.uk/id/eprint/16313 (The current URI for this page, for reference purposes) |
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