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Deformable Image Registration Using Cue-aware Deep Regression Network
SIGNIFICANCE: Analysis of modern large-scale, multi-center or diseased data requires deformable registration algorithms that can cope with data of diverse nature. OBJECTIVE: We propose a novel deformable registration method, which is based on a cue-aware deep regression network, to deal with multipl...
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| Gepubliceerd in: | IEEE Trans Biomed Eng |
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| Hoofdauteurs: | , , , , , |
| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
2018
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| Onderwerpen: | |
| Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6178830/ https://ncbi.nlm.nih.gov/pubmed/29993391 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TBME.2018.2822826 |
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