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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Dades bibliogràfiques
Publicat a:J Med Imaging (Bellingham)
Autors principals: Ketcha, Michael D., De Silva, Tharindu, Han, Runze, Uneri, Ali, Vogt, Sebastian, Kleinszig, Gerhard, Siewerdsen, Jeffrey H.
Format: Artigo
Idioma:Inglês
Publicat: Society of Photo-Optical Instrumentation Engineers 2019
Matèries:
Image Processing
Accés en línia: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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