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CT prostate segmentation based on synthetic MRI-aided deep attention fully convolution network
PURPOSE: Accurate segmentation of the prostate on computed tomography (CT) for treatment planning is challenging due to CT’s poor soft tissue contrast. Magnetic resonance imaging (MRI) has been used to aid prostate delineation, but its final accuracy is limited by MRI-CT registration errors. We deve...
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| Udgivet i: | Med Phys |
|---|---|
| Main Authors: | , , , , , , , , , , , , |
| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
2019
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| Fag: | |
| Online adgang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7764436/ https://ncbi.nlm.nih.gov/pubmed/31745995 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/mp.13933 |
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