DiCyc: GAN-based deformation invariant cross-domain information fusion for medical image synthesis

Cycle-consistent generative adversarial network (CycleGAN) has been widely used for cross-domain medical image synthesis tasks particularly due to its ability to deal with unpaired data. However, most CycleGAN-based synthesis methods cannot achieve good alignment between the synthesized images and d...

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Detalles Bibliográficos
Autores principales: Wang, Chengjia, Yang, Guang, Papanastasiou, Giorgos, Tsaftaris, Sotirios A., Newby, David E., Gray, Calum, Macnaught, Gillian, MacGillivray, Tom J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7763495/
https://www.ncbi.nlm.nih.gov/pubmed/33658909
http://dx.doi.org/10.1016/j.inffus.2020.10.015

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7763495/
https://www.ncbi.nlm.nih.gov/pubmed/33658909
http://dx.doi.org/10.1016/j.inffus.2020.10.015

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