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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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| Udgivet i: | Proc SPIE Int Soc Opt Eng |
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| Main Authors: | , , , , , , , |
| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
2019
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| 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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