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...
Main Authors: | Sabuncu, Mert R., Yeo, Boon Thye Thomas, Fischl, Bruce, Van Leemput, Koen, Golland, Polina |
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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
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Online Access: | http://hdl.handle.net/1721.1/64791 https://orcid.org/0000-0002-5002-1227 https://orcid.org/0000-0003-2516-731X |
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