Exploiting Spatial Information to Enhance DTI Segmentations via Spatial Fuzzy c-Means with Covariance Matrix Data and Non-Euclidean Metrics

A diffusion tensor models the covariance of the Brownian motion of water at a voxel and is required to be symmetric and positive semi-definite. Therefore, image processing approaches, designed for linear entities, are not effective for diffusion tensor data manipulation, and the existence of artefac...

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Hlavní autoři:	Safa Elsheikh, Andrew Fish, Diwei Zhou
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2021-07-01
Edice:	Applied Sciences
Témata:	diffusion tensor fuzzy c-means non-euclidean metrics K-means Corpus Callosum
On-line přístup:	https://www.mdpi.com/2076-3417/11/15/7003
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