Graph- based segmentation of skeletal striated muscles in NMR images

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Summary

This thesis proposes several approaches for segmenting skeletal muscles automatically in MRI, all related to the popular graph-based Random Walker (RW) segmentation algorithm, and proposes a learning framework to estimate the optimal set of parameters for balancing the contrast term of the RW algorithm and the different existing prior models.

Type
preprint
Published
2013-05-23
Cited by
6
References
118
Access
Open access

Keywords

Segmentation, Artificial intelligence, Computer science, Robustness (evolution), Discriminative model

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