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Semi-Supervised Segmentation of Ultrasound Images Based on Patch Representation and Continuous Min Cut
Ultrasound segmentation is a challenging problem due to the inherent speckle and some artifacts like shadows, attenuation and signal dropout. Existing methods need to include strong priors like shape priors or analytical intensity models to succeed in the segmentation. However, such priors tend to l...
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| Main Authors: | , , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2014
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4091944/ https://ncbi.nlm.nih.gov/pubmed/25010530 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0100972 |
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