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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...

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser: Safa Elsheikh, Andrew Fish, Diwei Zhou
Format: Artigo
Sprache:Inglês
Veröffentlicht: MDPI AG 2021-07-01
Schriftenreihe:Applied Sciences
Schlagworte:
diffusion tensor
fuzzy c-means
non-euclidean metrics
K-means
Corpus Callosum
Online-Zugang:https://www.mdpi.com/2076-3417/11/15/7003
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