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Learning-based deformable image registration: effect of statistical mismatch between train and test images
Convolutional neural networks (CNNs) offer a promising means to achieve fast deformable image registration with accuracy comparable to conventional, physics-based methods. A persistent question with CNN methods, however, is whether they will be able to generalize to data outside of the training set....
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| 出版年: | J Med Imaging (Bellingham) |
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| 主要な著者: | , , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Society of Photo-Optical Instrumentation Engineers
2019
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6916745/ https://ncbi.nlm.nih.gov/pubmed/31853461 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1117/1.JMI.6.4.044008 |
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