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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Filippas, J. Amin, S.A. Naguib, R.N.G. Bennett, M.K. |
| Copyright Year | 2003 |
| Description | Author affiliation: Sch. of Math. & Inf. Sci., Coventry Univ., UK (Filippas, J.; Amin, S.A.; Naguib, R.N.G.) |
| Abstract | Analysis of tissue using image processing techniques is essential for dealing with a number of problems in cancer research. The identification of normal and cancerous colonic mucosa is such a problem. In this paper texture analysis techniques are used to measure certain characteristics of normal and cancerous tissue images. A genetic algorithm undertakes the analysis of those results in order to determine the operations useful for the given problem and in the most appropriate operation combination for the purpose of maximising the classification accuracy. The system developed for undertaking those tasks has been implemented on a cluster of Linux workstations using distributed computing techniques. A distributed programming message-passing library, PVM (Parallel Virtual Machine), provides the basis for building this system. |
| Starting Page | 330 |
| Ending Page | 333 |
| File Size | 611491 |
| Page Count | 4 |
| File Format | |
| ISBN | 0780376676 |
| DOI | 10.1109/ITAB.2003.1222545 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2003-04-24 |
| Publisher Place | United Kingdom |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Genetic algorithms Image classification Image analysis Image processing Cancer Image texture analysis Algorithm design and analysis Linux Workstations Distributed computing |
| Content Type | Text |
| Resource Type | Article |
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