Counter-Driven Regression for Label Inference in Atlas-Based Segmentation

Counter-Driven Regression for Label Inference in Atlas-Based Segmentation

We present a novel method for inferring tissue labels in atlas-based image segmentation using Gaussian process regression. Atlas-based segmentation results in probabilistic label maps that serve as input to our method. We introduce a contour-driven prior distribution over label maps to incorporate i...

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Bibliographic Details
Main Authors: Wachinger, Christian, Sharp, Gregory C., Golland, Polina
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Format: Article
Language:en_US
Published: Springer-Verlag 2014
Online Access:http://hdl.handle.net/1721.1/86193
https://orcid.org/0000-0002-3652-1874
https://orcid.org/0000-0003-2516-731X

Internet

http://hdl.handle.net/1721.1/86193
https://orcid.org/0000-0002-3652-1874
https://orcid.org/0000-0003-2516-731X

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