EvIdent™: a functional magnetic resonance image analysis system
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摘要
EvIdent™ (EVent IDENTification) is a user-friendly, algorithm-rich, exploratory data analysis software for quickly detecting, investigating, and visualizing novel events in a set of images as they evolve in time and/or frequency. For instance, in a series of functional magnetic resonance neuroimages, novelty may manifest itself as neural activations in a time course. The core of the system is an enhanced variant of the fuzzy c-means clustering algorithm. Fuzzy clustering obviates the need for models of the underlying requisite biological function, models that are often statistically suspect.
论文关键词:Fuzzy clustering,Magnetic resonance imaging,Novelty detection,Exploratory data analysis
论文评审过程:Received 11 February 2000, Revised 17 June 2000, Accepted 1 August 2000, Available online 5 January 2001.
论文官网地址:https://doi.org/10.1016/S0933-3657(00)00095-6