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Deep learning-based three-dimensional segmentation of the prostate on computed tomography images
Segmentation of the prostate in computed tomography (CT) is used for planning and guidance of prostate treatment procedures. However, due to the low soft-tissue contrast of the images, manual delineation of the prostate on CT is a time-consuming task with high interobserver variability. We developed...
Gorde:
| Argitaratua izan da: | J Med Imaging (Bellingham) |
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| Egile Nagusiak: | , , , , |
| Formatua: | Artigo |
| Hizkuntza: | Inglês |
| Argitaratua: |
Society of Photo-Optical Instrumentation Engineers
2019
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| Gaiak: | |
| Sarrera elektronikoa: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6499404/ https://ncbi.nlm.nih.gov/pubmed/31065570 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1117/1.JMI.6.2.025003 |
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