A generative model for image segmentation based on label fusion

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. (Contributor), Yeo, Boon Thye Thomas (Contributor), Fischl, Bruce (Contributor), Van Leemput, Koen (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: Institute of Electrical and Electronics Engineers, 2011-07-13T18:13:40Z.
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