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A parallel system for performing colonic tissue classification by means of a genetic algorithm

Lookup NU author(s): Dr Mark Bennett

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Abstract

Tissue analysis is essential for dealing with a number of problems in cancer research. This research tries to address the problem of identifying normal, dysplastic and cancerous colonic mucosa by means of Texture analysis techniques. A genetic algorithm is used to interpret the results of those operations. Image-processing operations and genetic algorithms are both tasks requiring vast processing power. PVM (Parallel Virtual Machine), a message-passing library for distributed programming has been selected for implementing a parallel classification system. To further enhance PVM functionality a C++ object-oriented "PVM wrapper" was constructed.


Publication metadata

Author(s): Amin SA, Filippas J, Naguib RNG, Bennett MK

Editor(s): Dongarra, J., Laforenza, D., Orlando, S.

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: Recent Advances in Parallel Virtual Machine and Message Passing Interface: 10th European Parallel Virtual Machine and Message Passing Interface Users Group Meeting (PVM/MPI)

Year of Conference: 2003

Pages: 560-564

ISSN: 0302-9743 (print) 1611-3349 (online)

Publisher: Springer

URL: http://dx.doi.org/10.1007/978-3-540-39924-7_75

DOI: 10.1007/978-3-540-39924-7_75

Library holdings: Search Newcastle University Library for this item

Series Title: Lecture Notes in Computer Science

ISBN: 9783540201496


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