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    STUDIA INFORMATICA - Issue no. 1 / 2009  

Authors:  AMR A. BADR.
  Abstract:  An analysis of single photon emission computerized tomography (SPECT) images was carried out. The purpose is to determine the activities of the different lobes of the brain to classify human behaviour. Pulse-Coupled Neural networks (PCNNs) were used to get the signature of activity in each lobe. This was then used by a k-NN classifier and fuzzy-like rules for diagnosis. Genetic programming was used to evolve a diagnostic grammar which is used for syntactic and semantic diagnosis. Several test cases were used to verify the proposed scheme giving high diagnosis accuracy.

Key words and phrases. SPECT Imaging, Pulse-Coupled Neural Networks, k-NN classifier, Genetic Programming, Grammar.

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