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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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發表在:Proc SPIE Int Soc Opt Eng
Main Authors: Shahedi, Maysam, Ma, Ling, Halicek, Martin, Guo, Rongrong, Zhang, Guoyi, Schuster, David M., Nieh, Peter, Master, Viraj, Fei, Baowei
格式: Artigo
語言:Inglês
出版: 2018
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在線閱讀: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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