Nonparametric mixture models for supervised image parcellation

Nonparametric mixture models for supervised image parcellation

We present a nonparametric, probabilistic mixture model for the supervised parcellation of images. The proposed model yields segmentation algorithms conceptually similar to the recently developed label fusion methods, which register a new image with each training image separately. Segmentation is...

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Bibliographic Details
Main Authors: Sabuncu, Mert R., Yeo, B. T. Thomas, Van Leemput, Koen, Fischl, Bruce, Golland, Polina
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Format: Article
Language:en_US
Published: 2012
Online Access:http://hdl.handle.net/1721.1/74007
https://orcid.org/0000-0002-5002-1227
https://orcid.org/0000-0003-2516-731X

Internet

http://hdl.handle.net/1721.1/74007
https://orcid.org/0000-0002-5002-1227
https://orcid.org/0000-0003-2516-731X

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