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 ac...

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Bibliographic Details
Main Authors: Sabuncu, Mert R. (Contributor), Yeo, B. T. Thomas (Contributor), Van Leemput, Koen (Contributor), Fischl, Bruce (Contributor), Golland, Polina (Contributor)
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory (Contributor), Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor)
Format: Article
Language:English
Published: 2012-10-16T13:41:07Z.
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