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...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Article |
| Language: | en_US |
| Published: |
Springer-Verlag
2014
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| Online Access: | http://hdl.handle.net/1721.1/86193 https://orcid.org/0000-0002-3652-1874 https://orcid.org/0000-0003-2516-731X |