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Finding Seeds for Segmentation Using Statistical Fusion
Image labeling is an essential step for quantitative analysis of medical images. Many image labeling algorithms require seed identification in order to initialize segmentation algorithms such as region growing, graph cuts, and the random walker. Seeds are usually placed manually by human raters, whi...
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| Main Authors: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2012
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3457068/ https://ncbi.nlm.nih.gov/pubmed/23019385 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1117/12.911524 |
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