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Learning Distance Transform for Boundary Detection and Deformable Segmentation in CT Prostate Images
Segmenting the prostate from CT images is a critical step in the radio-therapy planning for prostate cancer. The segmentation accuracy could largely affect the efficacy of radiation treatment. However, due to the touching boundaries with the bladder and the rectum, the prostate boundary is often amb...
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| I publikationen: | Mach Learn Med Imaging |
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| Huvudupphovsmän: | , , , |
| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
2014
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| Ämnen: | |
| Länkar: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6097539/ https://ncbi.nlm.nih.gov/pubmed/30123893 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/978-3-319-10581-9_12 |
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