Title of article :
EvIdent™: a functional magnetic resonance image analysis system
Author/Authors :
Pizzi، نويسنده , , Nicolino J. and Vivanco، نويسنده , , Rodrigo A. and Somorjai، نويسنده , , Ray L.، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2001
Pages :
7
From page :
263
To page :
269
Abstract :
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.
Keywords :
novelty detection , Exploratory data analysis , Fuzzy clustering , Magnetic Resonance Imaging
Journal title :
Artificial Intelligence In Medicine
Serial Year :
2001
Journal title :
Artificial Intelligence In Medicine
Record number :
1834994
Link To Document :
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