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Random Walk Based Segmentation for the Prostate on 3D Transrectal Ultrasound Images
This paper proposes a new semi-automatic segmentation method for the prostate on 3D transrectal ultrasound images (TRUS) by combining the region and classification information. We use a random walk algorithm to express the region information efficiently and flexibly because it can avoid segmentation...
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| Publicado no: | Proc SPIE Int Soc Opt Eng |
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| Main Authors: | , , , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2016
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5029423/ https://ncbi.nlm.nih.gov/pubmed/27660383 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1117/12.2216526 |
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