Tractography segmentation using a hierarchical Dirichlet processes mixture model

Tractography segmentation using a hierarchical Dirichlet processes mixture model

In this paper, we propose a new nonparametric Bayesian framework to cluster white matter fiber tracts into bundles using a hierarchical Dirichlet processes mixture (HDPM) model. The number of clusters is automatically learned driven by data with a Dirichlet process (DP) prior instead of being manual...

Full description

Bibliographic Details
Main Authors: Wang, Xiaogang, Grimson, W. Eric L., Westin, Carl-Fredrik
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Format: Article
Language:English
Published: Elsevier BV 2020
Online Access:https://hdl.handle.net/1721.1/127187

Internet

https://hdl.handle.net/1721.1/127187

Similar Items