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A semiautomatic approach for prostate segmentation in MR images using local texture classification and statistical shape modeling

Segmentation of the prostate in magnetic resonance (MR) images has many applications in image-guided treatment planning and procedures such as biopsy and focal therapy. However, manual delineation of the prostate boundary is a time-consuming task with high inter-observer variation. In this study, we...

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Bibliografiske detaljer
Udgivet i:Proc SPIE Int Soc Opt Eng
Main Authors: Shahedi, Maysam, Halicek, Martin, Li, Qinmei, Liu, Lizhi, Zhang, Zhenfeng, Verma, Sadhna, Schuster, David M., Fei, Baowei
Format: Artigo
Sprog:Inglês
Udgivet: 2019
Fag:
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC7289512/
https://ncbi.nlm.nih.gov/pubmed/32528212
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1117/12.2512282
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