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Error estimation of deformable image registration of pulmonary CT scans using convolutional neural networks
Error estimation in nonlinear medical image registration is a nontrivial problem that is important for validation of registration methods. We propose a supervised method for estimation of registration errors in nonlinear registration of three-dimensional (3-D) images. The method is based on a 3-D co...
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| Publicado no: | J Med Imaging (Bellingham) |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Society of Photo-Optical Instrumentation Engineers
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5943620/ https://ncbi.nlm.nih.gov/pubmed/29750177 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1117/1.JMI.5.2.024003 |
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