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A recurrent cooperative/competitive field for segmentation of magnetic resonance brain images

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3 Author(s)
Worth, A.J. ; Dept. of Cognitive & Neural Syst., Boston Univ., MA, USA ; Lehar, S. ; Kennedy, D.N.

The gray-white decision network is introduced as an application of a recurrent cooperative/competitive network for segmentation of magnetic resonance (MR) brain images. The three-layer dynamical system relaxes into a solution where each pixel is labeled as either gray matter, white matter, or other matter by considering raw input intensity, edge information, and neighbor interactions. This network is presented as an example of applying a neurally inspired recurrent cooperative/competitive field (RCCF) to a problem with multiple conflicting constraints. Applications of the network and its phase plane analysis are presented

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Knowledge and Data Engineering, IEEE Transactions on  (Volume:4 ,  Issue: 2 )