Frequency-Domain-Based Structure Losses for CycleGAN-Based Cone-Beam Computed Tomography Translation

Research exploring CycleGAN-based synthetic image generation has recently accelerated in the medical community due to its ability to leverage unpaired images effectively. However, a commonly established drawback of the CycleGAN, the introduction of artifacts in generated images, makes it unreliable...

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Detalles Bibliográficos
Autores principales: Pai, Suraj, Hadzic, Ibrahim, Rao, Chinmay, Zhovannik, Ivan, Dekker, Andre, Traverso, Alberto, Asteriadis, Stylianos, Hortal, Enrique
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9920313/
https://www.ncbi.nlm.nih.gov/pubmed/36772129
http://dx.doi.org/10.3390/s23031089

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9920313/
https://www.ncbi.nlm.nih.gov/pubmed/36772129
http://dx.doi.org/10.3390/s23031089

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