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End‐to‐end unsupervised cycle‐consistent fully convolutional network for 3D pelvic CT‐MR deformable registration
OBJECTIVE: To improve the efficiency of computed tomography (CT)‐magnetic resonance (MR) deformable image registration while ensuring the registration accuracy. METHODS: Two fully convolutional networks (FCNs) for generating spatial deformable grids were proposed using the Cycle‐Consistent method to...
Shranjeno v:
| izdano v: | J Appl Clin Med Phys |
|---|---|
| Main Authors: | , , , , |
| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
John Wiley and Sons Inc.
2020
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| Teme: | |
| Online dostop: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7497923/ https://ncbi.nlm.nih.gov/pubmed/32657533 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/acm2.12968 |
| Oznake: |
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