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A Unified Variational Segmentation Framework with a Level-set based Sparse Composite Shape Prior
Image segmentation plays an essential role in many medical applications. Low SNR conditions and various artifacts makes its automation challenging. To achieve robust and accurate segmentation results, a good approach is to introduce proper shape priors. In this study, we present a unified variationa...
Tallennettuna:
| Julkaisussa: | Phys Med Biol |
|---|---|
| Päätekijät: | , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
2015
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4373709/ https://ncbi.nlm.nih.gov/pubmed/25668234 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1088/0031-9155/60/5/1865 |
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