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Malformations of the cerebral cortex are recognized as a common cause of developmental delay, neurological deficits, mental retardation and epilepsy. Currently, the diagnosis of cerebral cortical malformations is based on a subjective interpretation of neuroimaging characteristics of the cerebral gray matter and underlying white matter. There is no automated system for aiding the observer in making the diagnosis of a cortical malformation. In this paper a fuzzy rule-based system is proposed asdoi:10.1016/j.jbi.2006.11.002 pmid:17197247 pmcid:PMC2099697 fatcat:xgfo5scrxjaifmximbhzlhvbjm