A generative model for image segmentation based on label fusion

We propose a nonparametric, probabilistic model for the automatic segmentation of medical images, given a training set of images and corresponding label maps. The resulting inference algorithms rely on pairwise registrations between the test image and individual training images. The training labels...

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Bibliographic Details
Main Authors: Sabuncu, Mert R., Yeo, Boon Thye Thomas, Fischl, Bruce, Van Leemput, Koen, Golland, Polina
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Format: Article
Language:en_US
Published: Institute of Electrical and Electronics Engineers 2011
Online Access:http://hdl.handle.net/1721.1/64791
https://orcid.org/0000-0002-5002-1227
https://orcid.org/0000-0003-2516-731X