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.
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Amin, S.A., Filippas, J., Naguib, R.N.G., Bennett, M.K. (2003). A Parallel System for Performing Colonic Tissue Classification by Means of a Genetic Algorithm. In: Dongarra, J., Laforenza, D., Orlando, S. (eds) Recent Advances in Parallel Virtual Machine and Message Passing Interface. EuroPVM/MPI 2003. Lecture Notes in Computer Science, vol 2840. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-39924-7_75
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DOI: https://doi.org/10.1007/978-3-540-39924-7_75
Publisher Name: Springer, Berlin, Heidelberg
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