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A semiautomatic algorithm for three-dimensional segmentation of the prostate on CT images using shape and local texture characteristics
Prostate segmentation in computed tomography (CT) images is useful for planning and guidance of the diagnostic and therapeutic procedures. However, the low soft-tissue contrast of CT images makes the manual prostate segmentation a time-consuming task with high inter-observer variation. We developed...
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| Publicado no: | Proc SPIE Int Soc Opt Eng |
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| Main Authors: | , , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6149524/ https://ncbi.nlm.nih.gov/pubmed/30245541 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1117/12.2293195 |
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