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Brain tumour diagnosis generally requires a histological analysis, involving invasive surgery which can cause pain and discomfort to patients. In this paper, a new brain tumour diagnostic procedure is described using magnetic-resonance imaging (MRI) only. First, the MR images are preprocessed, using standardizing, non-brain removal and enhancement. Second, an improved fuzzy clustering algorithm is applied to segment the brain into different tissues. Finally, brain tumour diagnosis is performed using fuzzy logic based genetic programming (GP) to search for classification rules. Classification results on a variety of MR images for different pathologies, indicate this technique to be promising.